Triple
T4573262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Andreychuk |
E123084
|
entity |
| Predicate | careerNHLGamesPlayed |
P57791
|
FINISHED |
| Object | 1639 |
—
|
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: 1639 | Statement: [Dave Andreychuk, careerNHLGamesPlayed, 1639]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerNHLGamesPlayed Context triple: [Dave Andreychuk, careerNHLGamesPlayed, 1639]
-
A.
playedInNHLSeasons
Indicates that an individual participated as a player in one or more specified National Hockey League (NHL) seasons.
-
B.
numberOfNHLSeasons
Indicates the total count of seasons an entity has participated in the National Hockey League (NHL).
-
C.
numberOfNHLTeamsPlayedFor
Indicates the total count of distinct NHL teams for which a given player has played.
-
D.
NHLAllStarAppearances
Indicates the number of times an entity has participated in an NHL All-Star Game.
-
E.
NHLTeamsPlayedFor
Indicates that there exists a professional ice hockey playing relationship where a player has been a member of, and played for, one or more specified NHL teams.
- F. None of above. chosen
Provenance (4 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.