Triple
T14455913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coco Before Chanel |
E358458
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Ciné-@
Ciné-@ is a French film production company known for backing acclaimed films such as "Coco Before Chanel."
|
E1102509
|
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: Ciné-@ | Statement: [Coco Before Chanel, productionCompany, Ciné-@]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciné-@ Context triple: [Coco Before Chanel, productionCompany, Ciné-@]
-
A.
CinéCinéma
CinéCinéma is a French television network and film production entity known for supporting and broadcasting a wide range of French and international cinema.
-
B.
CG Cinéma
CG Cinéma is a French film production company known for backing auteur-driven and art-house cinema.
-
C.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
D.
Cinéfondation
Cinéfondation is a Cannes Film Festival program dedicated to discovering and promoting emerging filmmakers, primarily through showcasing short and medium-length films from film schools around the world.
-
E.
Cinema Rif
Cinema Rif is a historic movie theater and cultural venue in Tangier, Morocco, known for its art-house programming and role as a hub for local and international film culture.
- 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: Ciné-@ Triple: [Coco Before Chanel, productionCompany, Ciné-@]
Generated description
Ciné-@ is a French film production company known for backing acclaimed films such as "Coco Before Chanel."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ciné-@ Target entity description: Ciné-@ is a French film production company known for backing acclaimed films such as "Coco Before Chanel."
-
A.
CinéCinéma
CinéCinéma is a French television network and film production entity known for supporting and broadcasting a wide range of French and international cinema.
-
B.
CG Cinéma
CG Cinéma is a French film production company known for backing auteur-driven and art-house cinema.
-
C.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
D.
Cinéfondation
Cinéfondation is a Cannes Film Festival program dedicated to discovering and promoting emerging filmmakers, primarily through showcasing short and medium-length films from film schools around the world.
-
E.
Cinema Rif
Cinema Rif is a historic movie theater and cultural venue in Tangier, Morocco, known for its art-house programming and role as a hub for local and international film culture.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d86dbc0819085fef8fa8b45b373 |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6efed3108190a524c64adf740303 |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f8648408190aed910a7f269abee |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 10, 2026, 1:19 a.m.