Triple

T17347321
Position Surface form Disambiguated ID Type / Status
Subject Claude Lefort E421717 entity
Predicate influenced P9 FINISHED
Object Miguel Abensour NE ONDG

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: Miguel Abensour | Statement: [Claude Lefort, influenced, Miguel Abensour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Abensour
Context triple: [Claude Lefort, influenced, Miguel Abensour]
  • A. Maurice Bénichou
    Maurice Bénichou was a French actor known for his nuanced supporting roles in acclaimed films such as Michael Haneke’s "Caché" and Jean-Pierre Jeunet’s "Amélie."
  • B. Carlos Benaïm
    Carlos Benaïm is a renowned master perfumer known for creating numerous influential designer and niche fragrances over several decades.
  • C. Matthieu Chedid
    Matthieu Chedid, also known by his stage name -M-, is a French singer-songwriter, guitarist, and producer renowned for his eclectic pop-rock music and inventive stage persona.
  • D. Jacques Levy
    Jacques Levy was an American songwriter, theater director, and psychologist best known for his lyrical collaborations with Bob Dylan in the 1970s.
  • E. Jérémie Elkaïm
    Jérémie Elkaïm is a French actor and screenwriter known for his roles in independent and auteur cinema, including notable performances in films like "Polisse" and "Declaration of War."
  • 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: Miguel Abensour
Triple: [Claude Lefort, influenced, Miguel Abensour]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miguel Abensour
Target entity description: Miguel Abensour was a French political philosopher known for his work on utopia, democracy, and critical theory, particularly through his studies of Marx, Blanqui, and the Frankfurt School.
  • A. Maurice Bénichou
    Maurice Bénichou was a French actor known for his nuanced supporting roles in acclaimed films such as Michael Haneke’s "Caché" and Jean-Pierre Jeunet’s "Amélie."
  • B. Carlos Benaïm
    Carlos Benaïm is a renowned master perfumer known for creating numerous influential designer and niche fragrances over several decades.
  • C. Matthieu Chedid
    Matthieu Chedid, also known by his stage name -M-, is a French singer-songwriter, guitarist, and producer renowned for his eclectic pop-rock music and inventive stage persona.
  • D. Jacques Levy
    Jacques Levy was an American songwriter, theater director, and psychologist best known for his lyrical collaborations with Bob Dylan in the 1970s.
  • E. Jérémie Elkaïm
    Jérémie Elkaïm is a French actor and screenwriter known for his roles in independent and auteur cinema, including notable performances in films like "Polisse" and "Declaration of War."
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2a2ee48190976732e654a40053 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195546198819085804ec0b5b18040 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01965807cc819088792a88b8a099d3 in_progress May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:44 a.m.