Triple
T6634482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home |
E150412
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Elzévir Films
Elzévir Films is a French film production company known for producing independent and auteur-driven cinema.
|
E598926
|
NE FINISHED |
How this triple was built (4 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: Elzévir Films | Statement: [Home, productionCompany, Elzévir Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elzévir Films Context triple: [Home, productionCompany, Elzévir Films]
-
A.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
-
B.
Tornasol Films
Tornasol Films is a Spanish film production company known for co-producing acclaimed international films, including Ken Loach’s award-winning drama "The Wind That Shakes the Barley."
-
C.
Eldorado Films
Eldorado Films is a film production company best known for its involvement in the 1984 adventure romantic comedy "Romancing the Stone."
-
D.
Palace Films
Palace Films is an Australian film distribution company known for releasing a wide range of acclaimed international and local arthouse and independent films.
-
E.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elzévir Films Triple: [Home, productionCompany, Elzévir Films]
Generated description
Elzévir Films is a French film production company known for producing independent and auteur-driven cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elzévir Films Target entity description: Elzévir Films is a French film production company known for producing independent and auteur-driven cinema.
-
A.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
-
B.
Tornasol Films
Tornasol Films is a Spanish film production company known for co-producing acclaimed international films, including Ken Loach’s award-winning drama "The Wind That Shakes the Barley."
-
C.
Eldorado Films
Eldorado Films is a film production company best known for its involvement in the 1984 adventure romantic comedy "Romancing the Stone."
-
D.
Palace Films
Palace Films is an Australian film distribution company known for releasing a wide range of acclaimed international and local arthouse and independent films.
-
E.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
- F. None of above. chosen
Provenance (5 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcc1c9c819087fcde19a5d49fd2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf329f08190a3f29c4d4c6aa136 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd0bb0e48190ae51fde4b4631f65 |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cd90b9208190b4c5bf44db073314 |
completed | March 27, 2026, 6:33 p.m. |
Created at: March 27, 2026, 1:59 p.m.