Triple
T16783755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Boucher |
E407917
|
entity |
| Predicate | coach |
P2169
|
FINISHED |
| Object | Coach Klein |
E401241
|
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: Coach Klein | Statement: [Bobby Boucher, coach, Coach Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coach Klein Context triple: [Bobby Boucher, coach, Coach Klein]
-
A.
Coach Klein
chosen
Coach Klein is the timid, neurotic football coach of the South Central Louisiana State University Mud Dogs in the comedy film "The Waterboy."
-
B.
Coach Steve
Coach Steve is a dim-witted, overly enthusiastic middle school gym teacher and recurring comic character from the animated series "Big Mouth."
-
C.
Coach McFall
Coach McFall is a fictional high school coach character from the animated TV series "The Cleveland Show," known for working at Stoolbend High School.
-
D.
Pat Kraft
Pat Kraft is an American college athletics administrator known for serving as the athletic director at major universities, including Penn State.
-
E.
Brad Van Pelt
Brad Van Pelt was a standout linebacker for the New York Giants in the 1970s and early 1980s, known for his Pro Bowl-caliber play and leadership on defense.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b218d31881908d896e688ebd171c |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab056dc88190aeb9e135ae955125 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.