Triple
T35477846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendel Clark |
E1025382
|
entity |
| Predicate | activeYearsInNHL |
P21796
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Wendel Clark, activeYearsInNHL, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsInNHL Context triple: [Wendel Clark, activeYearsInNHL, 1980s]
-
A.
numberOfNHLSeasons
Indicates the total count of seasons an entity has participated in the National Hockey League (NHL).
-
B.
playedInNHLSeasons
chosen
Indicates that an individual participated as a player in one or more specified National Hockey League (NHL) seasons.
-
C.
yearsActiveAsNHLReferee
Indicates the span of years during which an individual served in the role of an NHL referee.
-
D.
playedNHLGamesFor
Indicates that a person has participated in one or more official National Hockey League games as a player for a specified team.
-
E.
numberOfNHLTeamsPlayedFor
Indicates the total count of distinct NHL teams for which a given player has played.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:04 p.m.