Triple
T27773181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Inches" locker room speech |
E701810
|
entity |
| Predicate | filmCharacterTeam |
P76158
|
FINISHED |
| Object | Miami Sharks |
—
|
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: Miami Sharks | Statement: ["Inches" locker room speech, filmCharacterTeam, Miami Sharks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCharacterTeam Context triple: ["Inches" locker room speech, filmCharacterTeam, Miami Sharks]
-
A.
famousEnsemble
Indicates that the subject is a well-known group of performers or artists collectively recognized for their work.
-
B.
filmCoStar
Indicates that two people appeared together as co-actors in the same film.
-
C.
partOfCastEnsembleWith
Indicates that two or more performers are members of the same cast ensemble in a shared production.
-
D.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
E.
associatedCharacters
chosen
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63797ab708190876c93bc93b05043 |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:36 p.m.