Triple

T14207876
Position Surface form Disambiguated ID Type / Status
Subject Nana (1934 film) E352147 entity
Predicate producer P490 FINISHED
Object Roger Richebé
Roger Richebé was a French film producer, director, and screenwriter active from the 1920s to the 1950s, known for his work on numerous notable French films.
 E1486170 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: Roger Richebé | Statement: [Nana (1934 film), producer, Roger Richebé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roger Richebé
Context triple: [Nana (1934 film), producer, Roger Richebé]
  • A. Gilles Taurand
    Gilles Taurand is a French screenwriter known for his work on numerous acclaimed films, including the historical drama "Farewell, My Queen."
  • B. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • C. Bernard Pontneau
    Bernard Pontneau is a French rugby union executive best known for serving as the long-time president of the Section Paloise (Pau) rugby club.
  • D. Olivier Delbosc
    Olivier Delbosc is a French film producer known for his work on numerous acclaimed arthouse and independent films.
  • E. Nicolas Béhuchet
    Nicolas Béhuchet was a 14th-century French naval commander and royal official who played a leading role in early Hundred Years’ War sea campaigns.
  • 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: Roger Richebé
Triple: [Nana (1934 film), producer, Roger Richebé]
Generated description
Roger Richebé was a French film producer, director, and screenwriter active from the 1920s to the 1950s, known for his work on numerous notable French films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roger Richebé
Target entity description: Roger Richebé was a French film producer, director, and screenwriter active from the 1920s to the 1950s, known for his work on numerous notable French films.
  • A. Gilles Taurand
    Gilles Taurand is a French screenwriter known for his work on numerous acclaimed films, including the historical drama "Farewell, My Queen."
  • B. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • C. Bernard Pontneau
    Bernard Pontneau is a French rugby union executive best known for serving as the long-time president of the Section Paloise (Pau) rugby club.
  • D. Olivier Delbosc
    Olivier Delbosc is a French film producer known for his work on numerous acclaimed arthouse and independent films.
  • E. Nicolas Béhuchet
    Nicolas Béhuchet was a 14th-century French naval commander and royal official who played a leading role in early Hundred Years’ War sea campaigns.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfd53dec81908d8a5bd0abcf05e2 completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d09f8ad481909ff0f4d996d99277 completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d18c77e481908a353d443d79b7ca completed May 17, 2026, 2:32 p.m.
Created at: April 10, 2026, 1:05 a.m.