Triple

T7024901
Position Surface form Disambiguated ID Type / Status
Subject I Married a Witch E162918 entity
Predicate editedBy P1954 FINISHED
Object Eda Warren E509039 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: Eda Warren | Statement: [I Married a Witch, editedBy, Eda Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eda Warren
Context triple: [I Married a Witch, editedBy, Eda Warren]
  • A. Eda Warren chosen
    Eda Warren was a British film editor known for her work on numerous mid-20th-century films.
  • B. Gertrude Warren
    Gertrude Warren was the wife of American actor and musician Preston Foster.
  • C. Enid Underwood
    Enid Underwood is a character from the webcomic "Strife," known for her involvement in the story’s central conflicts and relationships.
  • D. Edith Atwater
    Edith Atwater was an American character actress known for her work in mid-20th-century film, television, and theater.
  • E. Amy Prentiss
    Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77581e2a88190ad2ec9855772c6a5 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.