Triple

T12530418
Position Surface form Disambiguated ID Type / Status
Subject L'Appartement E299547 entity
Predicate starring P1507 FINISHED
Object Jean-Philippe Écoffey
Jean-Philippe Écoffey is a Swiss actor known for his work in French-language cinema and television.
E1296326 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: Jean-Philippe Écoffey | Statement: [L'Appartement, starring, Jean-Philippe Écoffey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Philippe Écoffey
Context triple: [L'Appartement, starring, Jean-Philippe Écoffey]
  • A. Robert Opron
    Robert Opron was a renowned French automobile designer best known for his influential work at Citroën in the 1960s and 1970s, where he shaped several iconic models.
  • B. Yves Jégo
    Yves Jégo is a French politician known for his roles in the National Assembly and government, particularly on the center-right of the political spectrum.
  • C. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • D. Geraud Brisson
    Geraud Brisson is a film editor known for his work on the movie "CODA."
  • E. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • 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: Jean-Philippe Écoffey
Triple: [L'Appartement, starring, Jean-Philippe Écoffey]
Generated description
Jean-Philippe Écoffey is a Swiss actor known for his work in French-language cinema and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean-Philippe Écoffey
Target entity description: Jean-Philippe Écoffey is a Swiss actor known for his work in French-language cinema and television.
  • A. Robert Opron
    Robert Opron was a renowned French automobile designer best known for his influential work at Citroën in the 1960s and 1970s, where he shaped several iconic models.
  • B. Yves Jégo
    Yves Jégo is a French politician known for his roles in the National Assembly and government, particularly on the center-right of the political spectrum.
  • C. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • D. Geraud Brisson
    Geraud Brisson is a film editor known for his work on the movie "CODA."
  • E. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a032115ddd08190a0830608c6756cf2 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a0322327eb481908c05300611c96226 completed May 12, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0322a4c9448190823e9fdc03ea9f90 completed May 12, 2026, 12:52 p.m.
Created at: April 8, 2026, 9:57 p.m.