Triple

T13216944
Position Surface form Disambiguated ID Type / Status
Subject The Big Blue E314640 entity
Predicate editedBy P1954 FINISHED
Object Olivier Mauffroy
Olivier Mauffroy is a film editor known for his work on the French cult classic "The Big Blue."
E1050157 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: Olivier Mauffroy | Statement: [The Big Blue, editedBy, Olivier Mauffroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivier Mauffroy
Context triple: [The Big Blue, editedBy, Olivier Mauffroy]
  • A. Matthieu Rougé
    Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
  • B. Olivier Merle
    Olivier Merle is a French former professional rugby union player known for his powerful play as a lock for the French national team in the 1990s.
  • C. Olivier Clément
    Olivier Clément was a prominent 20th-century French Orthodox theologian and writer known for his contributions to modern Christian thought and East–West ecumenical dialogue.
  • D. Arnaud Vaillant
    Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
  • E. Laurent Mauvignier
    Laurent Mauvignier is a contemporary French novelist known for his psychologically intense, formally innovative works that often explore trauma, memory, and social marginalization.
  • 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: Olivier Mauffroy
Triple: [The Big Blue, editedBy, Olivier Mauffroy]
Generated description
Olivier Mauffroy is a film editor known for his work on the French cult classic "The Big Blue."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olivier Mauffroy
Target entity description: Olivier Mauffroy is a film editor known for his work on the French cult classic "The Big Blue."
  • A. Matthieu Rougé
    Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
  • B. Olivier Merle
    Olivier Merle is a French former professional rugby union player known for his powerful play as a lock for the French national team in the 1990s.
  • C. Olivier Clément
    Olivier Clément was a prominent 20th-century French Orthodox theologian and writer known for his contributions to modern Christian thought and East–West ecumenical dialogue.
  • D. Arnaud Vaillant
    Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
  • E. Laurent Mauvignier
    Laurent Mauvignier is a contemporary French novelist known for his psychologically intense, formally innovative works that often explore trauma, memory, and social marginalization.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf28c9c819080d7b42d20f579d1 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7846008190aa27fafe19056807 completed May 3, 2026, 5:01 p.m.
NEDg Description generation batch_69f78097e1c08190b6e201d528d12af9 completed May 3, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69f7812aa15081909793181722f9d442 completed May 3, 2026, 5:08 p.m.
Created at: April 9, 2026, 9:18 p.m.