Triple
T35497777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Stewart |
E1025914
|
entity |
| Predicate | numberOfNHLPlayoffGamesRefereed |
P99222
|
FINISHED |
| Object | 40+ |
—
|
LITERAL 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: 40+ | Statement: [Paul Stewart, numberOfNHLPlayoffGamesRefereed, 40+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNHLPlayoffGamesRefereed Context triple: [Paul Stewart, numberOfNHLPlayoffGamesRefereed, 40+]
-
A.
numberOfNHLPlayoffGamesOfficiated
chosen
Indicates the total count of NHL playoff games that a given official has overseen or refereed.
-
B.
numberOfNHLRegularSeasonGamesOfficiated
Indicates the total count of NHL regular season games that a particular official has overseen.
-
C.
numberOfStanleyCupFinalsOfficiated
Indicates the number of Stanley Cup Finals games or series that a person has officiated as an official or referee.
-
D.
gamesPlayedInNHL
Indicates the number of games an individual has participated in within the National Hockey League (NHL).
-
E.
yearsActiveAsNHLReferee
Indicates the span of years during which an individual served in the role of an NHL referee.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.