Triple

T6556620
Position Surface form Disambiguated ID Type / Status
Subject Ric Wake E152463 entity
Predicate notableCollaboration P8554 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: [Ric Wake, notableCollaboration, Lara Fabian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lara Fabian
Context triple: [Ric Wake, notableCollaboration, 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1d28bc8190a2fa4b3e1e39863c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d559ad4881909c1e7712d84945f6 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:51 p.m.