Triple
T19801338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHL Coach of the Year award |
E475681
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Brian Kilrea |
—
|
NE NERFINISHED |
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: Brian Kilrea | Statement: [CHL Coach of the Year award, namedAfter, Brian Kilrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Kilrea Context triple: [CHL Coach of the Year award, namedAfter, Brian Kilrea]
-
A.
Brian Kilrea
chosen
Brian Kilrea is a Canadian former ice hockey player and legendary junior coach, best known for his long, record-setting tenure behind the bench of the Ottawa 67's in the OHL.
-
B.
Andrew McAlpine
Andrew McAlpine is a British production designer and art director known for his distinctive visual work on films such as "Sid and Nancy."
-
C.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
D.
Guy McElwaine
Guy McElwaine was an American film producer and talent agent known for his work in Hollywood during the late 20th century.
-
E.
Brian Niccol
Brian Niccol is an American business executive best known as the CEO who led Chipotle Mexican Grill through a major brand turnaround and growth phase.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cc995c81908e4ca85b0639d541 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.