Triple
T34840547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1952 NBA All-Star Game |
E1004328
|
entity |
| Predicate | isSecondAnnualGame |
P181910
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1952 NBA All-Star Game, isSecondAnnualGame, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSecondAnnualGame Context triple: [1952 NBA All-Star Game, isSecondAnnualGame, true]
-
A.
annualGameName
Indicates that the predicate specifies the name of a game as it is designated for a particular year or annual edition.
-
B.
isInauguralGameOf
Indicates that one game is the first-ever or opening game associated with a particular event, season, team, or competition.
-
C.
secondSeasonPremiereYear
Indicates the calendar year in which the second season of a series first premiered.
-
D.
playsTwicePerSeason
Indicates that one entity participates in or performs the specified activity or event exactly two times during each season.
-
E.
season2Premise
Indicates that the subject is the central premise or main storyline for the second season of the referenced series or show.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.