Triple
T7591295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany Firebirds |
E179740
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
|
E692172
|
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: Mike Dailey | Statement: [Albany Firebirds, headCoach, Mike Dailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Dailey Context triple: [Albany Firebirds, headCoach, Mike Dailey]
-
A.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
B.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
E.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
- 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: Mike Dailey Triple: [Albany Firebirds, headCoach, Mike Dailey]
Generated description
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Dailey Target entity description: Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
A.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
B.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
E.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b746ac8190b255afdfb9635f72 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9ea3f8a20819096ae41db21c8da0e |
completed | March 30, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69c9ead5f1348190bff07f3a414dacc5 |
completed | March 30, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9ebdb82888190bc716f376ec4b2ec |
completed | March 30, 2026, 3:19 a.m. |
Created at: March 27, 2026, 3:53 p.m.