Triple
T5093221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. J. Watt |
E114803
|
entity |
| Predicate | timesAwardReceived_NFLDefensivePlayerOfTheYear |
P17671
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [J. J. Watt, timesAwardReceived_NFLDefensivePlayerOfTheYear, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timesAwardReceived_NFLDefensivePlayerOfTheYear Context triple: [J. J. Watt, timesAwardReceived_NFLDefensivePlayerOfTheYear, 3]
-
A.
defensivePlayerOfTheYear
Indicates that the subject was recognized or awarded as the top defensive player of the year in a particular league, competition, or season.
-
B.
SuperBowlMVPawards
Indicates that a person has received the Most Valuable Player (MVP) award for a particular Super Bowl game.
-
C.
SuperBowlMVPFor
Indicates that one entity is the player who was awarded the Super Bowl Most Valuable Player (MVP) title for a specific Super Bowl game.
-
D.
numberOfDefensivePlayerOfTheYearAwards
chosen
Indicates the count of times an entity has received the Defensive Player of the Year award.
-
E.
defensiveRookieOfTheYear
Indicates that the subject was awarded the Defensive Rookie of the Year honor in a given league or competition.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75454920819086e09d6055087e40 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.