Triple
T4629251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Berube |
E101171
|
entity |
| Predicate | penaltyMinutesInNHL |
P57833
|
FINISHED |
| Object | over 3000 |
—
|
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: over 3000 | Statement: [Craig Berube, penaltyMinutesInNHL, over 3000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyMinutesInNHL Context triple: [Craig Berube, penaltyMinutesInNHL, over 3000]
-
A.
numberOfPlayersOnIcePerTeam
Indicates the count of players from a single team who are on the ice at the same time during play.
-
B.
goalsInNHLRegularSeason
Indicates the number of goals a player has scored during NHL regular season games.
-
C.
gamesPlayedInNHL
Indicates the number of games an individual has participated in within the National Hockey League (NHL).
-
D.
NHLAssists
Indicates that one player is credited with an assist on another player's goal in a National Hockey League (NHL) game.
-
E.
numberOfNHLTeamsPlayedFor
Indicates the total count of distinct NHL teams for which a given player has played.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a300e6081909fa9f504aada33ea |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:13 p.m.