Triple

T7561003
Position Surface form Disambiguated ID Type / Status
Subject Lucy (2014 film) E178792 entity
Predicate productionCompany P490 FINISHED
Object Ciné+
Ciné+ is a French group of premium television channels specializing in the broadcast and co-production of feature films.
 E663495 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: [Lucy (2014 film), productionCompany, Ciné+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ciné+
Context triple: [Lucy (2014 film), 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. CINE
    CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
  • C. Cinema 5
    Cinema 5 was an American independent film distribution company known for releasing influential art-house and foreign films in the 1960s and 1970s.
  • D. Telecinco Cinema
    Telecinco Cinema is a Spanish film production company known for backing successful and critically acclaimed films, including prominent genre and mainstream titles.
  • E. Movietime
    Movietime was the original name of the American cable television network now known as E!, which focuses on entertainment news and pop culture programming.
  • 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: [Lucy (2014 film), productionCompany, Ciné+]
Generated description
Ciné+ is a French group of premium television channels specializing in the broadcast and co-production of feature films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ciné+
Target entity description: Ciné+ is a French group of premium television channels specializing in the broadcast and co-production of feature films.
  • A. CinéCinéma chosen
    CinéCinéma is a French television network and film production entity known for supporting and broadcasting a wide range of French and international cinema.
  • B. CINE
    CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
  • C. Cinema 5
    Cinema 5 was an American independent film distribution company known for releasing influential art-house and foreign films in the 1960s and 1970s.
  • D. Telecinco Cinema
    Telecinco Cinema is a Spanish film production company known for backing successful and critically acclaimed films, including prominent genre and mainstream titles.
  • E. Movietime
    Movietime was the original name of the American cable television network now known as E!, which focuses on entertainment news and pop culture programming.
  • F. None of above.

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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d0cbfc8190b2cb2b601a7b078c completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c857e2b6b08190ad5236352d0142be completed March 28, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8587de3588190a209069dfee31a21 completed March 28, 2026, 10:38 p.m.
Created at: March 27, 2026, 3:50 p.m.