Triple
T5641089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Harlan |
E124266
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kevin Harlan |
E124266
|
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: Kevin Harlan | Statement: [Kevin Harlan, name, Kevin Harlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Harlan Context triple: [Kevin Harlan, name, Kevin Harlan]
-
A.
Kevin Harlan
chosen
Kevin Harlan is an American sportscaster best known for his energetic play-by-play commentary on NBA and NFL broadcasts.
-
B.
Michael Blodgett
Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
-
C.
James Yancey
James Yancey, better known as J Dilla, was a highly influential American record producer and rapper renowned for his innovative, soulful approach to hip-hop production.
-
D.
Leith D. Kent
Leith D. Kent is the individual after whom the Kent mango cultivar was named, recognized for his association with the development or identification of this popular mango variety.
-
E.
Guy C. Wiggins
Guy C. Wiggins was an American Impressionist painter best known for his atmospheric cityscapes of New York, often depicted in snow.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02286a14481908703ec1741343b76 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d780e988190af0efdc6cc17b72e |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.