Triple

T19936051
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Warnes E479177 entity
Predicate recordLabel P1500 FINISHED
Object Private Music E253149 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: Private Music | Statement: [Jennifer Warnes, recordLabel, Private Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Private Music
Context triple: [Jennifer Warnes, recordLabel, Private Music]
  • A. Private Music chosen
    Private Music was an independent American record label known for its eclectic roster spanning new-age, jazz, and adult contemporary artists.
  • B. Private Show
    "Private Show" is a song by American rapper T.I., featuring Chris Brown, from his 2014 album "Paperwork."
  • C. In Private
    "In Private" is a synth-pop song by British singer Dusty Springfield, released in 1989 and produced by the Pet Shop Boys during her late-career resurgence.
  • D. Private
    Private is the lowest enlisted rank in many armies, typically held by new soldiers undergoing basic training and early service.
  • E. Private
    Private is the sweet-natured, youngest member of the penguin team in the animated franchise "Penguins of Madagascar," known for his innocence and surprising bravery.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6ea0dcc8190b1e987a54115ae3e completed May 16, 2026, 4:47 a.m.
Created at: April 10, 2026, 1:53 p.m.