Triple
T38293785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Taylor |
E1022434
|
entity |
| Predicate | hasCollegeMajor |
P39964
|
FINISHED |
| Object | sociology (reported) |
—
|
LITERAL FINISHED |
How this triple was built (2 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: sociology (reported) | Statement: [Jonathan Taylor, hasCollegeMajor, sociology (reported)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeMajor Context triple: [Jonathan Taylor, hasCollegeMajor, sociology (reported)]
-
A.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
B.
hasMajorProgram
Indicates that an educational institution offers a specific field of study as a primary academic program.
-
C.
collegeMajor
chosen
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
D.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
E.
hasCollegeService
Indicates that an entity provides or is associated with a service offered by a college or higher-education institution.
- F. None of above.
Provenance (3 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.