Triple

T6385591
Position Surface form Disambiguated ID Type / Status
Subject Without You E143691 entity
Predicate hasNotableCover P20178 FINISHED
Object Lara Fabian E377456 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: Lara Fabian | Statement: [Without You, hasNotableCover, Lara Fabian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lara Fabian
Context triple: [Without You, hasNotableCover, Lara Fabian]
  • A. Lara Fabian chosen
    Lara Fabian is a Belgian-Canadian singer and songwriter renowned for her powerful vocals and emotive pop ballads in multiple languages, especially French.
  • B. Celine Dion
    Celine Dion is a Canadian singer renowned worldwide for her powerful vocals and hit ballads such as "My Heart Will Go On."
  • C. Nana Mouskouri
    Nana Mouskouri is a Greek singer renowned worldwide for her distinctive clear voice, multilingual repertoire, and prolific recording career spanning several decades.
  • D. Mireille Mathieu
    Mireille Mathieu is a French chanteuse renowned for her powerful voice, classic chanson repertoire, and international success since the 1960s.
  • E. Fairuza Balk
    Fairuza Balk is an American actress known for her intense, offbeat roles in films such as "The Craft," "American History X," and "Almost Famous."
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686764648190864163d390db292d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6387dc8888190ba63efcc9aff41b2 completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:34 p.m.