Triple

T7294760
Position Surface form Disambiguated ID Type / Status
Subject Vee-Jay Records E164490 entity
Predicate namedAfter P63 FINISHED
Object Vivian Carter E654694 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: Vivian Carter | Statement: [Vee-Jay Records, namedAfter, Vivian Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivian Carter
Context triple: [Vee-Jay Records, namedAfter, Vivian Carter]
  • A. Vivian Carter chosen
    Vivian Carter was an American music entrepreneur and radio DJ best known as the co-founder of the influential independent label Vee-Jay Records, which helped popularize R&B and early rock and roll.
  • B. Martha Coleman
    Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
  • C. Brenda Wyatt
    Brenda Wyatt is a forensic scientist and love interest in the 1986 fantasy film "Highlander," where she becomes entangled in the centuries-old conflict between immortal warriors.
  • D. Vivian Rutledge
    Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
  • E. Vivian Warren
    Vivian Warren is the intelligent, ambitious heroine of George Bernard Shaw’s play "Mrs. Warren’s Profession," who struggles to reconcile her moral ideals with the revelation of her mother’s past.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8b7cc08190983739bf667057c9 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eee330e08190b39bdf3f5071cace completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3 p.m.