Triple
T3813694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 22 (Larry Nance Sr.) |
E84197
|
entity |
| Predicate | wornInCompetition |
P13690
|
FINISHED |
| Object | NBA games |
—
|
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: NBA games | Statement: [22 (Larry Nance Sr.), wornInCompetition, NBA games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wornInCompetition Context triple: [22 (Larry Nance Sr.), wornInCompetition, NBA games]
-
A.
usedInCompetition
chosen
Indicates that something is employed or utilized as part of a competition or contest.
-
B.
wornFor
Indicates that an item is worn for a particular purpose, function, or occasion.
-
C.
wornAt
Indicates that an item is being worn on a specific part of the body or at a particular time or event.
-
D.
alsoWornIn
Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
-
E.
usesCompetitionSystem
Indicates that an entity operates under or applies a particular competition system or format.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7482d708190a3ec74745b102a4c |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.