Triple

T20347678
Position Surface form Disambiguated ID Type / Status
Subject Sexe fort E495914 entity
Predicate producer P490 FINISHED
Object Pascal Obispo 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: Pascal Obispo | Statement: [Sexe fort, producer, Pascal Obispo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pascal Obispo
Context triple: [Sexe fort, producer, Pascal Obispo]
  • A. Pascal Obispo chosen
    Pascal Obispo is a French pop singer-songwriter and composer known for his successful solo career and for writing hits for many prominent Francophone artists.
  • B. Pascal Ridao
    Pascal Ridao is a cinematographer best known for his work on the French drama film "I've Loved You So Long."
  • C. Bruno Maréchal
    Bruno Maréchal is a French local politician serving as the mayor of the commune of Monchy-Saint-Éloi in northern France.
  • D. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • E. Juan Laporte
    Juan Laporte is a former Puerto Rican professional boxer and WBC featherweight champion known for his toughness and for facing many of the top fighters of his era.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67839e7b48190876ce7133a20c65b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.