Triple

T14077767
Position Surface form Disambiguated ID Type / Status
Subject Intimacy E338781 entity
Predicate editedBy P1954 FINISHED
Object Yann Dedet E1003687 NE FINISHED

How this triple was built (2 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: Yann Dedet | Statement: [Intimacy, editedBy, Yann Dedet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yann Dedet
Context triple: [Intimacy, editedBy, Yann Dedet]
  • A. Yann Dedet chosen
    Yann Dedet is a French film editor renowned for his long-standing collaborations with prominent directors such as François Truffaut and Maurice Pialat.
  • B. Laurent Vastel
    Laurent Vastel is a French local politician who serves as the mayor of the Paris suburb Fontenay-aux-Roses.
  • C. Yannick Vanderborght
    Yannick Vanderborght is a Belgian political scientist best known for his work on basic income and social justice, often in collaboration with Philippe Van Parijs.
  • D. Yannick Jauzion
    Yannick Jauzion is a retired French rugby union centre renowned for his powerful running, playmaking skills, and key role in France’s national team during the 2000s.
  • E. Sebastian de Halleux
    Sebastian de Halleux is an entrepreneur best known as a co-founder of the social gaming company Playfish, which created popular Facebook and mobile games before being acquired by Electronic Arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5e027881908f610f5bab7598d4 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a175a48190b596ea4cf917e80e completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.