Triple

T20054540
Position Surface form Disambiguated ID Type / Status
Subject Back to the Future Part III (film score) E499292 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Clara Clayton 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: Clara Clayton | Statement: [Back to the Future Part III (film score), associatedWithCharacter, Clara Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Clayton
Context triple: [Back to the Future Part III (film score), associatedWithCharacter, Clara Clayton]
  • A. Clara Clayton chosen
    Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
  • B. Clara Smith
    Clara Smith was the wife of renowned photographer and curator Edward Steichen.
  • C. Clara Ann Fowler
    Clara Ann Fowler, better known by her stage name Patti Page, was a hugely popular American singer and one of the best-selling female artists of the 1950s.
  • D. Clara Jane Bryant
    Clara Jane Bryant was an American philanthropist best known as the wife of industrialist and Ford Motor Company founder Henry Ford.
  • E. Clara Sue Kidwell
    Clara Sue Kidwell is a Native American historian and scholar known for her pioneering work in Native American studies and Indigenous intellectual history.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66331c7488190840d43792ff09977 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.