Triple
T16143712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 NBA All-Star Game |
E391723
|
entity |
| Predicate | KobeBryantPoints |
P90073
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [2016 NBA All-Star Game, KobeBryantPoints, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KobeBryantPoints Context triple: [2016 NBA All-Star Game, KobeBryantPoints, 10]
-
A.
NBAAllTimeScoringLeader
Indicates that the subject holds the record for the most total points scored in NBA regular-season history.
-
B.
NBA_careerPoints
Indicates the total number of points a player has scored over the course of their NBA career.
-
C.
totalCareerPointsNBA
Indicates the total number of points a player has scored over their entire NBA career.
-
D.
pointsScoredInNBA
chosen
Indicates the number of points a player has scored in NBA games.
-
E.
LakersLeadingScorer
Indicates that the specified player is the one who scored the most points for the Los Angeles Lakers in a given game or time period.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.