Triple
T6274056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 NBA Finals |
E140609
|
entity |
| Predicate | finalsMVPPointsPerGame |
P8918
|
FINISHED |
| Object | 21.0 |
—
|
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: 21.0 | Statement: [2004 NBA Finals, finalsMVPPointsPerGame, 21.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalsMVPPointsPerGame Context triple: [2004 NBA Finals, finalsMVPPointsPerGame, 21.0]
-
A.
MVPPoints
chosen
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
-
B.
finalsMVPWinnerFromTeam
Indicates that the specified player won the Finals MVP award while playing for the specified team.
-
C.
MVPGoals
Indicates that an entity has been recognized as the Most Valuable Player (MVP) based on achieving specific performance goals or criteria.
-
D.
MVPMinutesPlayed
Indicates the number of minutes played by the player who received the Most Valuable Player (MVP) recognition in a given game or season.
-
E.
MVPawardYear
Indicates the year in which an entity received a Most Valuable Player (MVP) award.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063c0629c8190805ddf1a604e9ca4 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.