Triple

T17435124
Position Surface form Disambiguated ID Type / Status
Subject La Famille Bélier E423981 entity
Predicate productionCompany P490 FINISHED
Object Jerico
Jerico is a French film production company known for backing popular French-language movies such as "La Famille Bélier."
 E1268646 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: Jerico | Statement: [La Famille Bélier, productionCompany, Jerico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jerico
Context triple: [La Famille Bélier, productionCompany, Jerico]
  • A. Quiapo
    Quiapo is a historic and densely populated district in Manila, Philippines, known for its bustling markets, the Quiapo Church, and its role as a major commercial and transport hub.
  • B. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • C. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • D. Angotero
    Angotero is an alternative name for the Secoya people, an Indigenous group of the western Amazon rainforest in Peru and Ecuador.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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: Jerico
Triple: [La Famille Bélier, productionCompany, Jerico]
Generated description
Jerico is a French film production company known for backing popular French-language movies such as "La Famille Bélier."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jerico
Target entity description: Jerico is a French film production company known for backing popular French-language movies such as "La Famille Bélier."
  • A. Quiapo
    Quiapo is a historic and densely populated district in Manila, Philippines, known for its bustling markets, the Quiapo Church, and its role as a major commercial and transport hub.
  • B. Juncal
    Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
  • C. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • D. Angotero
    Angotero is an alternative name for the Secoya people, an Indigenous group of the western Amazon rainforest in Peru and Ecuador.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490361c081908fd24f9a812f212c completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff0b26c8190a6e65451e52199bb completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b12b5df4819089fd89fd25338533 completed May 11, 2026, 10:36 a.m.
NED2 Entity disambiguation (via description) batch_6a01b17486c08190aa47953e74c62e84 completed May 11, 2026, 10:37 a.m.
Created at: April 10, 2026, 5:46 a.m.