Triple
T16483242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Perry |
E400373
|
entity |
| Predicate | penaltyMinutesCharacteristic |
P122952
|
FINISHED |
| Object | takes many penalties |
—
|
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: takes many penalties | Statement: [Corey Perry, penaltyMinutesCharacteristic, takes many penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: penaltyMinutesCharacteristic Context triple: [Corey Perry, penaltyMinutesCharacteristic, takes many penalties]
-
A.
penaltyMinute
Indicates that a player is assessed a specific number of penalty minutes, typically for an infraction in a timed sporting event.
-
B.
penaltyMinutesInNHL
Indicates the number of penalty minutes an entity has accumulated in National Hockey League (NHL) play.
-
C.
penaltyScoredBy
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
D.
penaltyGoalPoints
Indicates that points are awarded for a goal scored from a penalty situation.
-
E.
penaltyFrom10thFoul
Indicates that a penalty situation arises as a result of a team or player committing their tenth foul.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e0420ac81908f9a3548ddb3b1ff |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:13 a.m.