Triple
T36783057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 NBA Finals |
E908824
|
entity |
| Predicate | game5PointsByMichaelJordan |
P186551
|
FINISHED |
| Object | 38 |
—
|
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: 38 | Statement: [1997 NBA Finals, game5PointsByMichaelJordan, 38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: game5PointsByMichaelJordan Context triple: [1997 NBA Finals, game5PointsByMichaelJordan, 38]
-
A.
finalsMVPNumberForMichaelJordan
Indicates the number of NBA Finals MVP awards that Michael Jordan received.
-
B.
maxPointsPerGame
Indicates the maximum number of points an entity can score or is allowed to score in a single game.
-
C.
championshipNumberForPlayerMichaelJordan
Indicates the total number of championships associated with the player Michael Jordan.
-
D.
Game 6 MagicJohnsonRebounds
Indicates the number of rebounds Magic Johnson recorded in Game 6 of a particular series or season.
-
E.
MVPFieldGoalsMade
Indicates the number of field goals successfully made by the MVP in a game or season.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:12 p.m.