Triple
T3069292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Worthy |
E62179
|
entity |
| Predicate | teammateOf |
P2649
|
FINISHED |
| Object | Michael Cooper |
E234380
|
NE 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: Michael Cooper | Statement: [James Worthy, teammateOf, Michael Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Cooper Context triple: [James Worthy, teammateOf, Michael Cooper]
-
A.
Michael Cooper
chosen
Michael Cooper is a former Los Angeles Lakers guard renowned for his elite perimeter defense and key role on the Showtime-era championship teams.
-
B.
Bruce Cooper
Bruce Cooper is a fashion industry professional best known as the founder of the international modeling agency Wilhelmina Models.
-
C.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
-
D.
Jeff Richmond
Jeff Richmond is an American composer, producer, and director known for his work on television comedies such as "30 Rock" and "Unbreakable Kimmy Schmidt."
-
E.
Byron Cook
Byron Cook is a computer scientist known for his work in formal verification and program analysis, particularly in proving program termination and safety.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada100f0b8819095da366fdc6803a8 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f87bec6c8190ae928fc7c4467859 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:02 p.m.