Triple
T1485890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Gervin |
E29461
|
entity |
| Predicate | NBAScoringTitleCount |
P16330
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [George Gervin, NBAScoringTitleCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAScoringTitleCount Context triple: [George Gervin, NBAScoringTitleCount, 4]
-
A.
NBAScoringTitle
chosen
Indicates that a player led the NBA in points per game for a given season, earning the league's scoring title.
-
B.
NBAAllTimeScoringRank
Indicates the position an NBA player holds on the all-time career points scored leaderboard relative to all other players.
-
C.
MVPPoints
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
-
D.
totalPointsScored
Indicates the total number of points accumulated or scored by an entity over a defined period, event, or context.
-
E.
JetsScore
Indicates that the team named Jets scores a certain number of points in a game or event.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a1d8448190b3c90bb82fd806fe |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.