Triple

T14759347
Position Surface form Disambiguated ID Type / Status
Subject Return to Oz E346814 entity
Predicate castMember P1668 FINISHED
Object Piper Laurie E303866 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: Piper Laurie | Statement: [Return to Oz, castMember, Piper Laurie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piper Laurie
Context triple: [Return to Oz, castMember, Piper Laurie]
  • A. Piper Laurie chosen
    Piper Laurie was an acclaimed American actress known for her intense performances in films like "Carrie" and "The Hustler" and the TV series "Twin Peaks."
  • B. Shirley Heath
    Shirley Heath is a large open heathland and recreational green space located in the Shirley area of the West Midlands, England.
  • C. Lee Grant
    Lee Grant is an Academy Award–winning American actress and director known for her powerful film and television performances and later work as a documentarian.
  • D. Anne Meara
    Anne Meara was an American actress and comedian, best known as half of the comedy duo Stiller and Meara and for her extensive work in television, film, and theater.
  • E. Estelle Parsons
    Estelle Parsons is an American actress and director best known for her Academy Award–winning performance in the 1967 film "Bonnie and Clyde" and her extensive work on stage and television.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff78dab488190a89b9eb4f648b36c completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 1:30 a.m.