Triple

T13313168
Position Surface form Disambiguated ID Type / Status
Subject Coup de torchon E317122 entity
Predicate editedBy P1954 FINISHED
Object Armand Psenny NE NERFINISHED

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: Armand Psenny | Statement: [Coup de torchon, editedBy, Armand Psenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armand Psenny
Context triple: [Coup de torchon, editedBy, Armand Psenny]
  • A. Armand Psenny chosen
    Armand Psenny is a film editor known for his work on French cinema, including editing the historical drama "Que la fête commence."
  • B. Armand Gensonné
    Armand Gensonné was a French lawyer and revolutionary politician who became a prominent leader of the Girondin faction during the French Revolution and was executed during the Reign of Terror.
  • 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. Bernard Accoyer
    Bernard Accoyer is a French politician who served as President of the National Assembly and was a prominent figure on the center-right.
  • E. Jacques Dufilho
    Jacques Dufilho was a French actor known for his character roles in mid-20th-century cinema and for his acclaimed performances in both film and theater.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
Created at: April 9, 2026, 9:29 p.m.