Triple
T20075200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Fulks |
E499843
|
entity |
| Predicate | pointsPerGameCareer |
P10820
|
FINISHED |
| Object | 23.2 |
—
|
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: 23.2 | Statement: [Joe Fulks, pointsPerGameCareer, 23.2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsPerGameCareer Context triple: [Joe Fulks, pointsPerGameCareer, 23.2]
-
A.
pointsPerGame
Indicates the average number of points an entity scores per game over a given set of games.
-
B.
careerPointsPerGame
chosen
Indicates the average number of points an individual scores per game over the course of their entire career.
-
C.
NBA_careerPoints
Indicates the total number of points a player has scored over the course of their NBA career.
-
D.
totalCareerPointsNBA
Indicates the total number of points a player has scored over their entire NBA career.
-
E.
careerBlocksPerGame
Indicates the average number of blocked shots a player records per game over the course of their entire career.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643ab0448190ab18d013b72aaf32 |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.