Triple
T7357119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She's All That |
E169652
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | FilmColony |
E514041
|
NE 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: FilmColony | Statement: [She's All That, productionCompany, FilmColony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FilmColony Context triple: [She's All That, productionCompany, FilmColony]
-
A.
FilmColony
chosen
FilmColony is a film production company best known for producing the acclaimed biographical drama "Finding Neverland."
-
B.
Film City
Film City is a major media and entertainment production hub in Noida, housing numerous television studios, news channels, and film production facilities.
-
C.
ArenaFilm
ArenaFilm is an Australian film production company known for producing the critically acclaimed drama "Romulus, My Father."
-
D.
FilmFour
FilmFour is a British film production company and former television channel associated with Channel 4, known for backing distinctive independent and arthouse films.
-
E.
Film Vault
Film Vault is a themed retail shop at Universal Studios Florida that sells movie-related merchandise inspired by classic and popular Universal films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13a62e48190a2d1781a630aa9f0 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa6a5d88190b969b7783edc67b7 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:06 p.m.