Triple

T19455420
Position Surface form Disambiguated ID Type / Status
Subject Christine (1983 film) E486720 entity
Predicate castMember P1668 FINISHED
Object Alexandra Paul 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: Alexandra Paul | Statement: [Christine (1983 film), castMember, Alexandra Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Paul
Context triple: [Christine (1983 film), castMember, Alexandra Paul]
  • A. Alexandra Paul chosen
    Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
  • B. Ava Alexander
    Ava Alexander is the central protagonist of the film "Up All Night," around whom the story’s main events and character dynamics revolve.
  • C. Alexandra Marie Llewellyn
    Alexandra Marie Llewellyn is best known as the second wife of American thriller novelist Tom Clancy.
  • D. Alexandra Richards
    Alexandra Richards is an American model and artist, best known as the daughter of Rolling Stones guitarist Keith Richards and actress Patti Hansen.
  • E. Alexandra Munroe
    Alexandra Munroe is a prominent curator and scholar of Asian art known for organizing major international exhibitions and advancing the global recognition of contemporary artists from Asia.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c2b1108190b492ca23487b91f8 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.