Triple
T11245536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Schultz |
E266192
|
entity |
| Predicate | penaltyMinutesRecord |
P57833
|
FINISHED |
| Object | 472 penalty minutes in the 1974-75 NHL season |
—
|
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: 472 penalty minutes in the 1974-75 NHL season | Statement: [Dave Schultz, penaltyMinutesRecord, 472 penalty minutes in the 1974-75 NHL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyMinutesRecord Context triple: [Dave Schultz, penaltyMinutesRecord, 472 penalty minutes in the 1974-75 NHL season]
-
A.
penaltyMinutesInNHL
chosen
Indicates the number of penalty minutes an entity has accumulated in National Hockey League (NHL) play.
-
B.
penaltyMinute
Indicates that a player is assessed a specific number of penalty minutes, typically for an infraction in a timed sporting event.
-
C.
penaltyScoredBy
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
D.
penaltyFrom10thFoul
Indicates that a penalty situation arises as a result of a team or player committing their tenth foul.
-
E.
penaltyGoalPoints
Indicates that points are awarded for a goal scored from a penalty situation.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91c045c81908a9024a8aee32f4d |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.