Triple
T20876945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding Neverland |
E514041
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | FilmColony |
—
|
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: FilmColony | Statement: [Finding Neverland, producer, FilmColony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FilmColony Context triple: [Finding Neverland, producer, 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.
ARRAY Filmworks
ARRAY Filmworks is a film and television production company founded by filmmaker Ava DuVernay, known for championing diverse voices and inclusive storytelling.
-
E.
Flims
Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6767ec0819080721e2e75bd0d66 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.