Triple
T12493440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springfield Indians |
E298620
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Brian Kilrea
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.
|
E1008993
|
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: Brian Kilrea | Statement: [Springfield Indians, notablePlayer, Brian Kilrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Kilrea Context triple: [Springfield Indians, notablePlayer, Brian Kilrea]
-
A.
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."
-
B.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
C.
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.
-
D.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
E.
William Tummel
William Tummel was a Hollywood film assistant director who received an Academy Award for his work in the early years of the Oscars.
- 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: Brian Kilrea Triple: [Springfield Indians, notablePlayer, Brian Kilrea]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Kilrea Target entity description: 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.
-
A.
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."
-
B.
Ian Ritchie
Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
-
C.
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.
-
D.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
E.
William Tummel
William Tummel was a Hollywood film assistant director who received an Academy Award for his work in the early years of the Oscars.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de4089c8190917a45365e641437 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a535943081909f893b2be006cc28 |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a724e414819081c95b0d4ac0da25 |
completed | May 3, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7def4bc8190836ad781a4a28456 |
completed | May 3, 2026, 1:41 a.m. |
Created at: April 8, 2026, 9:56 p.m.