Triple

T18177869
Position Surface form Disambiguated ID Type / Status
Subject Loving E435208 entity
Predicate editedBy P1954 FINISHED
Object Julie Monroe 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: Julie Monroe | Statement: [Loving, editedBy, Julie Monroe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Monroe
Context triple: [Loving, editedBy, Julie Monroe]
  • A. Julie Monroe chosen
    Julie Monroe is a film editor known for her work on major motion pictures, including the financial drama "Wall Street: Money Never Sleeps."
  • B. Maxine Albro
    Maxine Albro was an American muralist and painter associated with the New Deal era, best known for her vibrant frescoes and contributions to public art in San Francisco.
  • C. Cara Seymour
    Cara Seymour is a British actress known for her character roles in film and television, including her prominent part in the period medical drama series "The Knick."
  • D. Telma Hopkins
    Telma Hopkins is an American actress and singer best known for her roles in television sitcoms such as "Bosom Buddies," "Gimme a Break!," and "Family Matters," as well as for being a member of the 1970s pop group Tony Orlando and Dawn.
  • E. Linda Hart
    Linda Hart is an American actress and singer best known for her work in film, television, and musical theatre, including roles in productions like "Hairspray."
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5b68f081908aac8210270f1499 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.