Triple
T35688849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 NBA All-Star Game |
E1031231
|
entity |
| Predicate | westLeadingScorer |
P6605
|
FINISHED |
| Object | Kevin Durant |
—
|
NE NERFINISHED |
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: Kevin Durant | Statement: [2013 NBA All-Star Game, westLeadingScorer, Kevin Durant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: westLeadingScorer Context triple: [2013 NBA All-Star Game, westLeadingScorer, Kevin Durant]
-
A.
topScorer
chosen
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
B.
seriesWinningGoalScorer
Indicates the player who scored the decisive goal that clinched victory in a multi-game series.
-
C.
titleWinningGoalScorer
Indicates the player who scored the decisive goal that secured a title or championship in a competition.
-
D.
scoringLeaderGoals
Indicates that the subject is the leading scorer in terms of goals, having scored more goals than any other relevant participant in the given context.
-
E.
winsLeader
Indicates that one entity achieves victory or leadership over another in a competitive or comparative context.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.