Triple
T17653522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffalo Bisons (AHL) |
E429555
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Roger Crozier |
—
|
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: Roger Crozier | Statement: [Buffalo Bisons (AHL), notablePlayer, Roger Crozier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Crozier Context triple: [Buffalo Bisons (AHL), notablePlayer, Roger Crozier]
-
A.
Roger Crozier
chosen
Roger Crozier was a Canadian professional ice hockey goaltender best known for his standout NHL career in the 1960s and 1970s, including winning the Conn Smythe Trophy as playoff MVP.
-
B.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
C.
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
-
D.
Eric Crozier
Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
-
E.
Ronald Dacey
Ronald Dacey is a central character in the television series "StartUp," portrayed as a skilled but conflicted gang leader who becomes an unlikely tech entrepreneur.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3ed8b08190a00efdad9740bf6f |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.