Triple

T19627839
Position Surface form Disambiguated ID Type / Status
Subject 3000 Miles to Graceland E471183 entity
Predicate hasCharacter P2308 FINISHED
Object Cybil Waingrow 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: Cybil Waingrow | Statement: [3000 Miles to Graceland, hasCharacter, Cybil Waingrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cybil Waingrow
Context triple: [3000 Miles to Graceland, hasCharacter, Cybil Waingrow]
  • A. Cybil Shepherd chosen
    Cybill Shepherd is an American actress and former model best known for her roles in films like "The Last Picture Show" and TV series such as "Moonlighting" and "Cybill."
  • B. Cindy Morgan
    Cindy Morgan is an American actress best known for her roles in the comedy film "Caddyshack" and the science fiction film "Tron."
  • C. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • D. Carla Overbeck
    Carla Overbeck is a former American soccer defender and captain of the U.S. women’s national team, best known for leading the squad to victory in the 1999 FIFA Women’s World Cup.
  • E. Kristie Vinton
    Kristie Vinton is one of the children of American pop singer and entertainer Bobby Vinton.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641007e5881908da78e50aa36f340 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.