Triple

T10305225
Position Surface form Disambiguated ID Type / Status
Subject Jean Rouch E241734 entity
Predicate familyName P18 FINISHED
Object Rouch
Rouch is the surname of Jean Rouch, a pioneering French filmmaker and anthropologist known for his influential work in cinéma vérité and ethnographic cinema.
E854254 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: Rouch | Statement: [Jean Rouch, familyName, Rouch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rouch
Context triple: [Jean Rouch, familyName, Rouch]
  • A. Villedieu
    Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
  • B. Cusset
    Cusset is a residential and commercial district in the eastern part of Villeurbanne, near Lyon in eastern France.
  • C. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • D. Leloir
    Leloir is a surname most notably associated with Luis Federico Leloir, the Argentine biochemist and Nobel Prize laureate recognized for his work on carbohydrate metabolism.
  • E. Roure
    Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
  • 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: Rouch
Triple: [Jean Rouch, familyName, Rouch]
Generated description
Rouch is the surname of Jean Rouch, a pioneering French filmmaker and anthropologist known for his influential work in cinéma vérité and ethnographic cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rouch
Target entity description: Rouch is the surname of Jean Rouch, a pioneering French filmmaker and anthropologist known for his influential work in cinéma vérité and ethnographic cinema.
  • A. Villedieu
    Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
  • B. Cusset
    Cusset is a residential and commercial district in the eastern part of Villeurbanne, near Lyon in eastern France.
  • C. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • D. Leloir
    Leloir is a surname most notably associated with Luis Federico Leloir, the Argentine biochemist and Nobel Prize laureate recognized for his work on carbohydrate metabolism.
  • E. Roure
    Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d309a4508190ad9de37171a64dba completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d58416081909a010e905d70e934 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d73185266481909e79eddc33469d8d completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73279922c8190b616e1a61df4d227 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:46 a.m.