Triple
T36551349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Street Elite |
E901266
|
entity |
| Predicate | leaderInFilm |
P187004
|
FINISHED |
| Object | Tommy Hatcher |
—
|
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: Tommy Hatcher | Statement: [Green Street Elite, leaderInFilm, Tommy Hatcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leaderInFilm Context triple: [Green Street Elite, leaderInFilm, Tommy Hatcher]
-
A.
filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
-
B.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
C.
leadActorOfWinningFilm
Indicates that a person is the lead actor in a film that has won a specified award or competition.
-
D.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
-
E.
leadActorOfAdaptation
Indicates that a person is the main actor in a specific adaptation of a work (such as a film, series, or stage version).
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.