Triple

T4657937
Position Surface form Disambiguated ID Type / Status
Subject Patricia Hitchcock E102454 entity
Predicate name P16 FINISHED
Object Patricia Hitchcock E102454 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: Patricia Hitchcock | Statement: [Patricia Hitchcock, name, Patricia Hitchcock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Hitchcock
Context triple: [Patricia Hitchcock, name, Patricia Hitchcock]
  • A. Patricia Hitchcock chosen
    Patricia Hitchcock was a British-American actress best known for her supporting roles in several of her father Alfred Hitchcock’s films and appearances on his television series.
  • B. Alma Reville
    Alma Reville was a British screenwriter, editor, and assistant director best known for her long creative collaboration with and marriage to filmmaker Alfred Hitchcock.
  • C. Johanna Mankiewicz Davis
    Johanna Mankiewicz Davis was an American novelist and screenwriter, and the daughter of acclaimed screenwriter Herman J. Mankiewicz.
  • D. Ruth Wells
    Ruth Wells was the wife of three-time Academy Award–winning American character actor Walter Brennan.
  • E. Priscilla Lane
    Priscilla Lane was an American film actress best known as one of the Lane Sisters and for her roles in popular 1930s and 1940s Hollywood films.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631a855c81909773737fd238a14d completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf5a0988190b097ef71301aebbe completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.