Triple
T13687022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exam |
E328157
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Independent Film Company |
E952470
|
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: Independent Film Company | Statement: [Exam, distributor, Independent Film Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Independent Film Company Context triple: [Exam, distributor, Independent Film Company]
-
A.
Independent Film Company
chosen
Independent Film Company is a British production and sales company known for financing and distributing independent feature films.
-
B.
Big Indie Pictures
Big Indie Pictures is a film production company known for backing independent and character-driven movies such as the comedy-drama "Troop Zero."
-
C.
Integral Films
Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
-
D.
Arthouse Entertainment
Arthouse Entertainment is a music publishing and production company known for developing and representing hit songwriters and producers across mainstream pop and other genres.
-
E.
Intermedia Films
Intermedia Films is an independent film production company known for financing and producing a range of international feature 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.