Triple
T1041862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inside the NBA |
E22485
|
entity |
| Predicate | formerPanelist |
P858
|
FINISHED |
| Object |
Kevin Harlan
Kevin Harlan is an American sportscaster best known for his energetic play-by-play commentary on NBA and NFL broadcasts.
|
E124266
|
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: Kevin Harlan | Statement: [Inside the NBA, formerPanelist, Kevin Harlan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Harlan Context triple: [Inside the NBA, formerPanelist, Kevin Harlan]
-
A.
Jed Harris
Jed Harris was a prominent American theatrical producer and director known for staging influential Broadway productions in the mid-20th century.
-
B.
Richard Stolley
Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
E.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
- 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: Kevin Harlan Triple: [Inside the NBA, formerPanelist, Kevin Harlan]
Generated description
Kevin Harlan is an American sportscaster best known for his energetic play-by-play commentary on NBA and NFL broadcasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Harlan Target entity description: Kevin Harlan is an American sportscaster best known for his energetic play-by-play commentary on NBA and NFL broadcasts.
-
A.
Jed Harris
Jed Harris was a prominent American theatrical producer and director known for staging influential Broadway productions in the mid-20th century.
-
B.
Richard Stolley
Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
E.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bb71e7f88190bf33bbe5ef2c68ff |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429ad45481908641fcaf72f7d1b9 |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac4365965881909ff2cdf8eda07f91 |
completed | March 7, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43d1cd1c8190852f8811703ebd5f |
completed | March 7, 2026, 3:27 p.m. |
Created at: March 1, 2026, 7:42 p.m.