Triple
T8790417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 NBA All-Star Game |
E209147
|
entity |
| Predicate | GiannisAllStarSelectionNumber |
P2665
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [2023 NBA All-Star Game, GiannisAllStarSelectionNumber, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GiannisAllStarSelectionNumber Context triple: [2023 NBA All-Star Game, GiannisAllStarSelectionNumber, 7]
-
A.
NBAAllStarSelections
chosen
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
-
B.
NBAAllStarGameMVPawards
Indicates that the subject has received one or more NBA All-Star Game Most Valuable Player (MVP) awards.
-
C.
isNBAAllStar
Indicates that a person has been selected to participate as a player in at least one NBA All-Star Game.
-
D.
NBAAllNBASelection
Indicates that a player has been selected to an All-NBA Team (First, Second, or Third Team) for a given NBA season.
-
E.
NBAAllStarYears
Indicates the years in which a given player was selected as an NBA All-Star.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:43 p.m.