Triple

T19098216
Position Surface form Disambiguated ID Type / Status
Subject Bliss E467461 entity
Predicate hasPart P35 FINISHED
Object Irrésistiblement 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: Irrésistiblement | Statement: [Bliss, hasPart, Irrésistiblement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irrésistiblement
Context triple: [Bliss, hasPart, Irrésistiblement]
  • A. Irrésistiblement chosen
    "Irrésistiblement" is a popular 1968 French pop song performed by singer Sylvie Vartan, known for its catchy melody and enduring appeal.
  • B. Irresistible
    "Irresistible" is a pop song by American singer Jessica Simpson that became one of her signature early-2000s hits.
  • C. Irresistible
    "Irresistible" is a pop song by Irish band The Corrs, known for its catchy melody and polished, radio-friendly production.
  • D. Autre Ne Veut
    Autre Ne Veut is the stage name of Arthur Ashin, an American musician known for his experimental, emotionally intense blend of R&B, pop, and electronic music.
  • E. Petit à petit
    Petit à petit is a 1970 ethnographic comedy film by Jean Rouch that satirically explores cultural differences through the story of Nigerien businessmen investigating life in Paris.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36b279c819091a8d51f044bc644 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.