Triple

T33192916
Position Surface form Disambiguated ID Type / Status
Subject Juliette Gréco chante Prévert E849656 entity
Predicate musicalArtistInterpreting P141257 FINISHED
Object Juliette Gréco 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: Juliette Gréco | Statement: [Juliette Gréco chante Prévert, musicalArtistInterpreting, Juliette Gréco]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: musicalArtistInterpreting
Context triple: [Juliette Gréco chante Prévert, musicalArtistInterpreting, Juliette Gréco]
  • A. musicalArtistAssociated
    Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
  • B. artistOf chosen
    Indicates that one entity is the creator or performer responsible for producing a particular work or piece.
  • C. musicalArtistOnTrack
    Indicates that a musical artist performed on, contributed to, or is otherwise credited for a specific track.
  • D. featuresArtistAsRecordingArtist
    Indicates that an item (such as a recording or release) includes a particular artist in the role of the recording artist.
  • E. musicalArtistMember
    Indicates that one entity is a musical artist who is or was a member of another musical group or act.
  • F. None of above.

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_69f3495e0f108190a6a7006f79f9c2c3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd57ba740c8190bd1d40166fccccb7 completed May 8, 2026, 3:25 a.m.
PD Predicate disambiguation batch_69fd55ee82b881908a639da3a41b3af6 completed May 8, 2026, 3:18 a.m.
Created at: May 1, 2026, 1:29 a.m.