Triple
T38520483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hart Memorial Trophy |
E922459
|
entity |
| Predicate | recordForMostWinsHeldBy |
P7620
|
FINISHED |
| Object | Wayne Gretzky |
—
|
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: Wayne Gretzky | Statement: [Hart Memorial Trophy, recordForMostWinsHeldBy, Wayne Gretzky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordForMostWinsHeldBy Context triple: [Hart Memorial Trophy, recordForMostWinsHeldBy, Wayne Gretzky]
-
A.
recordHolderMostTitles
Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given context.
-
B.
mostOverallWinsRecord
chosen
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
-
C.
franchiseRecordHeld
Indicates that one entity holds or possesses a record or achievement within the context of a particular franchise.
-
D.
mostOverallWinsHolder
Indicates that the subject is the entity holding the highest total number of wins overall, compared to all other relevant entities.
-
E.
mostAwardsHolder
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
- F. None of above.
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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 3, 2026, 4:32 p.m.