Triple
T36782979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Malone |
E908822
|
entity |
| Predicate | pointsScoredNBARegularSeason |
P90073
|
FINISHED |
| Object | 36928 |
—
|
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: 36928 | Statement: [Karl Malone, pointsScoredNBARegularSeason, 36928]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsScoredNBARegularSeason Context triple: [Karl Malone, pointsScoredNBARegularSeason, 36928]
-
A.
pointsScoredInNBA
chosen
Indicates the number of points a player has scored in NBA games.
-
B.
pointsScored
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
-
C.
pointsPerGame
Indicates the average number of points an entity scores per game over a given set of games.
-
D.
careerPointsPerGame
Indicates the average number of points an individual scores per game over the course of their entire career.
-
E.
featuresRegularSeasonGames
Indicates that the subject includes or hosts games that are part of a standard, scheduled regular season 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.