Triple
T23506391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James A. Matisoff |
E572291
|
entity |
| Predicate | workInstitution |
P1203
|
FINISHED |
| Object |
Department of Linguistics, University of California, Berkeley
The Department of Linguistics at the University of California, Berkeley is a leading academic center renowned for its influential research and teaching across theoretical, descriptive, and experimental linguistics.
|
E1589152
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Linguistics, University of California, Berkeley | Statement: [James A. Matisoff, workInstitution, Department of Linguistics, University of California, Berkeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistics, University of California, Berkeley Context triple: [James A. Matisoff, workInstitution, Department of Linguistics, University of California, Berkeley]
-
A.
Department of Linguistics, University of California, Los Angeles
The Department of Linguistics at the University of California, Los Angeles is a leading academic center renowned for its influential research and teaching across theoretical and applied linguistics.
-
B.
Stanford University Department of Linguistics
The Stanford University Department of Linguistics is a leading academic department renowned for its research and teaching across theoretical, computational, and sociolinguistics.
-
C.
Department of Linguistics, University of Utah
The Department of Linguistics at the University of Utah is an academic unit dedicated to the scientific study of language, offering research and degree programs in areas such as theoretical, descriptive, and applied linguistics.
-
D.
University of Maryland Department of Linguistics
The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
-
E.
University of Pennsylvania Department of Linguistics
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Linguistics, University of California, Berkeley Triple: [James A. Matisoff, workInstitution, Department of Linguistics, University of California, Berkeley]
Generated description
The Department of Linguistics at the University of California, Berkeley is a leading academic center renowned for its influential research and teaching across theoretical, descriptive, and experimental linguistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Linguistics, University of California, Berkeley Target entity description: The Department of Linguistics at the University of California, Berkeley is a leading academic center renowned for its influential research and teaching across theoretical, descriptive, and experimental linguistics.
-
A.
Department of Linguistics, University of California, Los Angeles
The Department of Linguistics at the University of California, Los Angeles is a leading academic center renowned for its influential research and teaching across theoretical and applied linguistics.
-
B.
Stanford University Department of Linguistics
The Stanford University Department of Linguistics is a leading academic department renowned for its research and teaching across theoretical, computational, and sociolinguistics.
-
C.
Department of Linguistics, University of Utah
The Department of Linguistics at the University of Utah is an academic unit dedicated to the scientific study of language, offering research and degree programs in areas such as theoretical, descriptive, and applied linguistics.
-
D.
University of Maryland Department of Linguistics
The University of Maryland Department of Linguistics is a leading academic department known for its research and graduate training in theoretical linguistics, psycholinguistics, and language acquisition.
-
E.
University of Pennsylvania Department of Linguistics
The University of Pennsylvania Department of Linguistics is a leading academic center for theoretical and empirical linguistics research and education, known for its influential contributions to syntax, phonology, sociolinguistics, and computational linguistics.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a9009ca081908c4cffb8c32293ec |
completed | April 29, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8277b97481909b1405fd7469b910 |
completed | May 19, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a0ca6f2d4288190b0b5fd46d2a387bf |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7f09af48190b7bfdae25d2f286b |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 6:07 p.m.