Triple
T927786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Issel |
E20022
|
entity |
| Predicate | NBAAllTimeScoringRank |
P21479
|
FINISHED |
| Object | among leading scorers in Denver Nuggets history |
—
|
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: among leading scorers in Denver Nuggets history | Statement: [Dan Issel, NBAAllTimeScoringRank, among leading scorers in Denver Nuggets history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAAllTimeScoringRank Context triple: [Dan Issel, NBAAllTimeScoringRank, among leading scorers in Denver Nuggets history]
-
A.
MVPPoints
Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
-
B.
MVPThreePointersMade
Indicates the number of three-point field goals successfully made by the MVP in a game or season.
-
C.
NBAAllStarSelections
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
-
D.
NBAAllNBAFirstTeamSelections
Indicates the number of times an NBA player has been selected to the All-NBA First Team.
-
E.
NBAReboundingLeaderYears
Indicates the years in which an entity was the NBA leader in rebounds.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b32de3cc81908a0ef885795677ff |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b29876348190a29f4ff9878074a5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.