Triple
T11236164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Certified Copy |
E265945
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
BiBi Film
BiBi Film is an Italian film production company known for backing auteur-driven international cinema, including works by directors like Abbas Kiarostami.
|
E913210
|
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: BiBi Film | Statement: [Certified Copy, productionCompany, BiBi Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BiBi Film Context triple: [Certified Copy, productionCompany, BiBi Film]
-
A.
Cre Film
Cre Film is a film production company known for helping produce the critically acclaimed drama "The Florida Project."
-
B.
Lea Film
Lea Film was an Italian film production company active during the mid-20th century, known for contributing to genre cinema including giallo and thriller films.
-
C.
Bay Films
Bay Films is a film production company founded by director Michael Bay, known for producing high-octane action movies and large-scale Hollywood blockbusters.
-
D.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
E.
Mantaray Film
Mantaray Film is a Swedish film production company known for producing acclaimed documentaries and feature films, often with a strong focus on personal and artistic stories.
- 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: BiBi Film Triple: [Certified Copy, productionCompany, BiBi Film]
Generated description
BiBi Film is an Italian film production company known for backing auteur-driven international cinema, including works by directors like Abbas Kiarostami.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BiBi Film Target entity description: BiBi Film is an Italian film production company known for backing auteur-driven international cinema, including works by directors like Abbas Kiarostami.
-
A.
Cre Film
Cre Film is a film production company known for helping produce the critically acclaimed drama "The Florida Project."
-
B.
Lea Film
Lea Film was an Italian film production company active during the mid-20th century, known for contributing to genre cinema including giallo and thriller films.
-
C.
Bay Films
Bay Films is a film production company founded by director Michael Bay, known for producing high-octane action movies and large-scale Hollywood blockbusters.
-
D.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
E.
Mantaray Film
Mantaray Film is a Swedish film production company known for producing acclaimed documentaries and feature films, often with a strong focus on personal and artistic stories.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12dd658819085c25d3edac2d66c |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b3e05b488190bf2e3810ba2f250e |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 8, 2026, 9:30 p.m.