Triple
T1245988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Kay |
E26765
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Kay |
E26765
|
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 Kay | Statement: [Michael Kay, name, Michael Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kay Context triple: [Michael Kay, name, Michael Kay]
-
A.
Michael Kay
chosen
Michael Kay is a New York sports broadcaster best known as the television play-by-play announcer for the New York Yankees and host of "The Michael Kay Show."
-
B.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
C.
Edward Lampert
Edward Lampert is an American billionaire investor and hedge fund manager best known for orchestrating the merger of Sears and Kmart and serving as the longtime chairman of Sears Holdings.
-
D.
Jim Wilson
Jim Wilson is a film producer best known for his work on the hit 1992 romantic thriller "The Bodyguard."
-
E.
Mark Davis
Mark Davis is a computer scientist and software engineer best known for co-founding the Unicode Consortium and helping to design and standardize the Unicode character encoding system.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf65c41c8190b4c65e015d1264c0 |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93c420f08190a6eda4d0aa498a3a |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.