Triple
T15389694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Stackhouse |
E368006
|
entity |
| Predicate | NBAScoringRank2000-2001 |
P98229
|
FINISHED |
| Object | second in NBA |
—
|
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: second in NBA | Statement: [Jerry Stackhouse, NBAScoringRank2000-2001, second in NBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAScoringRank2000-2001 Context triple: [Jerry Stackhouse, NBAScoringRank2000-2001, second in NBA]
-
A.
NBAAllTimeScoringRank
Indicates the position an NBA player holds on the all-time career points scored leaderboard relative to all other players.
-
B.
statisticalRanking
chosen
Indicates a comparative ordering of entities based on statistical measures or performance metrics.
-
C.
leagueScoringRankABAAllTime
Indicates a subject’s all-time scoring rank within the American Basketball Association (ABA) across the entire history of the league.
-
D.
SlamDunkContestWinner
Indicates that the subject is the winner of a slam dunk contest competition.
-
E.
MVPPoints
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.