Triple

T18334327
Position Surface form Disambiguated ID Type / Status
Subject La Totale! E439228 entity
Predicate productionCompany P490 FINISHED
Object Films 7
Films 7 is a French film production company known for backing movies such as the comedy-thriller "La Totale!".
E1318970 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: Films 7 | Statement: [La Totale!, productionCompany, Films 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Films 7
Context triple: [La Totale!, productionCompany, Films 7]
  • A. Films 59
    Films 59 is a Spanish film production company best known for producing Luis Buñuel’s acclaimed 1961 drama "Viridiana."
  • B. Flims
    Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • C. Movies!
    Movies! is an American digital multicast television network specializing in classic and older feature films, typically airing uncut and in their original aspect ratios.
  • D. Ten Films
    Ten Films is a film production company known for producing the movie "Samba."
  • E. 2.4.7. Films
    2.4.7. Films is a film production company known for producing the 2011 French romantic comedy-drama "Delicacy."
  • 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: Films 7
Triple: [La Totale!, productionCompany, Films 7]
Generated description
Films 7 is a French film production company known for backing movies such as the comedy-thriller "La Totale!".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Films 7
Target entity description: Films 7 is a French film production company known for backing movies such as the comedy-thriller "La Totale!".
  • A. Films 59
    Films 59 is a Spanish film production company best known for producing Luis Buñuel’s acclaimed 1961 drama "Viridiana."
  • B. Flims
    Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • C. Movies!
    Movies! is an American digital multicast television network specializing in classic and older feature films, typically airing uncut and in their original aspect ratios.
  • D. Ten Films
    Ten Films is a film production company known for producing the movie "Samba."
  • E. 2.4.7. Films
    2.4.7. Films is a film production company known for producing the 2011 French romantic comedy-drama "Delicacy."
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4d2db288190b5832978f53265ca completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c8b9d06c8190af9e9121246b7e6f completed May 13, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a03c989741c81908f2a50b571a8c475 completed May 13, 2026, 12:44 a.m.
Created at: April 10, 2026, 10:36 a.m.