Triple

T5338884
Position Surface form Disambiguated ID Type / Status
Subject Anatomy of a Murder E123894 entity
Predicate castMember P1668 FINISHED
Object Kathryn Grant E100518 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: Kathryn Grant | Statement: [Anatomy of a Murder, castMember, Kathryn Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathryn Grant
Context triple: [Anatomy of a Murder, castMember, Kathryn Grant]
  • A. Kathryn Grant chosen
    Kathryn Grant is an American actress and singer best known for her film and television work in the 1950s and 1960s and for her marriage to entertainer Bing Crosby.
  • B. Katherine Grant
    Katherine Grant is a central character in Fritz Lang’s 1936 drama "Fury," serving as the devoted fiancée whose efforts to clear her wrongly accused lover drive much of the film’s emotional and moral tension.
  • C. Katherine Griffith
    Katherine Griffith was an early 20th-century American film actress known for her roles in silent-era motion pictures.
  • D. Elinor Donahue
    Elinor Donahue is an American actress best known for her work in classic television sitcoms of the 1950s and 1960s.
  • E. Elizabeth Kennedy-Laurie Dickson
    Elizabeth Kennedy-Laurie Dickson was the mother of early motion picture pioneer William Kennedy Laurie Dickson.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85c8415c819099a0b26e07360f01 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21c20364819093387aa0e60b4291 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.