Triple
T14351692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxine Gray |
E355867
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Peter Gray
Peter Gray is the son of Maxine Gray, a central character in the television series "Judging Amy."
|
E1095279
|
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: Peter Gray | Statement: [Maxine Gray, child, Peter Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Gray Context triple: [Maxine Gray, child, Peter Gray]
-
A.
Richard Selley
Richard Selley is a British geologist and petroleum sedimentologist known for his influential work on sedimentary basins and hydrocarbon exploration.
-
B.
William Damon
William Damon is an American psychologist and professor best known for his research on moral development and youth purpose, and for his work at Stanford University’s Center on Adolescence.
-
C.
Michael Tomasello
Michael Tomasello is an American developmental and comparative psychologist known for his influential research on child language acquisition, social cognition, and the evolution of human cooperation.
-
D.
Michael Tronick
Michael Tronick is an American film editor known for his work on numerous major Hollywood productions across several decades.
-
E.
Stuart Brown
Stuart Brown is a Scottish football executive best known for serving as chairman of Stirling Albion F.C.
- 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: Peter Gray Triple: [Maxine Gray, child, Peter Gray]
Generated description
Peter Gray is the son of Maxine Gray, a central character in the television series "Judging Amy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Gray Target entity description: Peter Gray is the son of Maxine Gray, a central character in the television series "Judging Amy."
-
A.
Richard Selley
Richard Selley is a British geologist and petroleum sedimentologist known for his influential work on sedimentary basins and hydrocarbon exploration.
-
B.
William Damon
William Damon is an American psychologist and professor best known for his research on moral development and youth purpose, and for his work at Stanford University’s Center on Adolescence.
-
C.
Michael Tomasello
Michael Tomasello is an American developmental and comparative psychologist known for his influential research on child language acquisition, social cognition, and the evolution of human cooperation.
-
D.
Michael Tronick
Michael Tronick is an American film editor known for his work on numerous major Hollywood productions across several decades.
-
E.
Stuart Brown
Stuart Brown is a Scottish football executive best known for serving as chairman of Stirling Albion F.C.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4335e481909d4db39b8d25edc9 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4e795948819097c43e30902f1654 |
completed | May 8, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f04d7ec819095b64d4811440166 |
completed | May 8, 2026, 2:48 a.m. |
Created at: April 10, 2026, 1:14 a.m.