Triple

T14520082
Position Surface form Disambiguated ID Type / Status
Subject The Outlaw Josey Wales E340626 entity
Predicate supportingActor P7748 FINISHED
Object Sondra Locke E736995 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: Sondra Locke | Statement: [The Outlaw Josey Wales, supportingActor, Sondra Locke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sondra Locke
Context triple: [The Outlaw Josey Wales, supportingActor, Sondra Locke]
  • A. Sondra Locke chosen
    Sondra Locke was an American actress and director best known for her frequent film collaborations and long-term personal relationship with Clint Eastwood during the 1970s and 1980s.
  • B. Cheryl Ladd
    Cheryl Ladd is
  • C. Stefanie Powers
    Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
  • D. Katharine Ross
    Katharine Ross is an American actress best known for her acclaimed role as Elaine Robinson in the classic 1967 film "The Graduate."
  • E. Tanya Roberts
    Tanya Roberts was an American actress and model best known for her roles in the James Bond film "A View to a Kill," the TV series "Charlie's Angels," and "That '70s Show."
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a70b15c81908773633e989ef704 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c1bf988190b1265c3db9a6b590 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:22 a.m.