Triple

T21417171
Position Surface form Disambiguated ID Type / Status
Subject Angel (1937 film) E528333 entity
Predicate castMember P1668 FINISHED
Object Laura Hope Crews 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: Laura Hope Crews | Statement: [Angel (1937 film), castMember, Laura Hope Crews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Hope Crews
Context triple: [Angel (1937 film), castMember, Laura Hope Crews]
  • A. Laura Hope Crews chosen
    Laura Hope Crews was an American stage and film actress best remembered for her role as Aunt Pittypat Hamilton in "Gone with the Wind" (1939).
  • B. Joyce Hunt
    Joyce Hunt is the wife of British politician John Hunt, Baron Hunt, and a member of the UK political peer’s family.
  • C. Sarah Packard
    Sarah Packard is a troubled, emotionally fragile woman who becomes romantically involved with pool hustler "Fast" Eddie Felson in the 1961 film *The Hustler*.
  • D. Susan Crocker
    Susan Crocker is a notable individual who shares the Crocker surname, likely recognized for contributions in her professional or public life.
  • E. Suzanne Welch
    Suzanne "Suzy" Welch is an American author, television commentator, and business journalist known for her work on leadership, management, and career strategy.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2073a7881909adda8ed70a2cecd completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:46 p.m.