Triple

T2215966
Position Surface form Disambiguated ID Type / Status
Subject Craig Armstrong E48032 entity
Predicate collaboratedWith P435 FINISHED
Object Mylène Farmer 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 Farmer | Statement: [Craig Armstrong, collaboratedWith, Mylène Farmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mylène Farmer
Context triple: [Craig Armstrong, collaboratedWith, Mylène Farmer]
  • 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. Mireille Mathieu
    Mireille Mathieu is a French chanteuse renowned for her powerful voice, classic chanson repertoire, and international success since the 1960s.
  • C. Nelly Roussel
    Nelly Roussel was a pioneering French feminist, neo-Malthusian activist, and orator known for her advocacy of birth control, women’s rights, and social reform in the early 20th century.
  • 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. Patricia Kaas
    Patricia Kaas is a French singer and actress known for her distinctive husky voice and modern take on classic chanson, blending pop, jazz, and cabaret influences.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbff11574819091d1b50d637ae767 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65571b9481908f992cee85ee59eb completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.