Triple

T4446746
Position Surface form Disambiguated ID Type / Status
Subject Niagara E96306 entity
Predicate editedBy P1954 FINISHED
Object Barbara McLean E33907 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: Barbara McLean | Statement: [Niagara, editedBy, Barbara McLean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara McLean
Context triple: [Niagara, editedBy, Barbara McLean]
  • A. Barbara McLean chosen
    Barbara McLean was a highly influential American film editor of Hollywood’s studio era, renowned for her work on numerous classic films and for helping shape the art of cinematic editing.
  • B. Cornelia Paterson
    Cornelia Paterson was a member of a prominent early American political family who became the wife of New York landowner and politician Stephen Van Rensselaer.
  • C. Margaret K. McElderry
    Margaret K. McElderry was a pioneering American children's book editor and publisher renowned for elevating the quality and literary reputation of children's literature.
  • D. Patricia P. Frank
    Patricia P. Frank is a screenwriter known for her work on the classic comedy film "The Court Jester."
  • E. Carol Seaver
    Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.