Triple

T6640860
Position Surface form Disambiguated ID Type / Status
Subject Mylène Farmer E150582 entity
Predicate givenName P17 FINISHED
Object Mylène E150582 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: Mylène | Statement: [Mylène Farmer, givenName, Mylène]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mylène
Context triple: [Mylène Farmer, givenName, Mylène]
  • A. Mylène Farmer chosen
    Mylène Farmer is a French singer-songwriter and producer renowned for her melancholic pop music, poetic lyrics, and visually striking, often controversial music videos.
  • B. Mylène Jeanne Gautier
    Mylène Jeanne Gautier, better known as Mylène Farmer, is a hugely influential French-Canadian singer, songwriter, and performer renowned for her melancholic pop music, poetic lyrics, and visually striking music videos.
  • C. Mireille Mathieu
    Mireille Mathieu is a French chanteuse renowned for her powerful voice, classic chanson repertoire, and international success since the 1960s.
  • D. Alizée
    Alizée is a French pop singer and dancer who rose to international fame in the early 2000s with her hit single "Moi... Lolita."
  • E. Axelle Francine
    Axelle Francine is a French journalist and image consultant best known for her previous marriage to NBA star Tony Parker.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff42c748190b818cf55f83647cb completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75813e4488190b2067541ec86d722 completed March 28, 2026, 4:24 a.m.
Created at: March 27, 2026, 2 p.m.