Triple

T6218433
Position Surface form Disambiguated ID Type / Status
Subject Margaret K. McElderry E139049 entity
Predicate name P16 FINISHED
Object Margaret K. McElderry E139049 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: Margaret K. McElderry | Statement: [Margaret K. McElderry, name, Margaret K. McElderry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret K. McElderry
Context triple: [Margaret K. McElderry, name, Margaret K. McElderry]
  • A. Margaret K. McElderry chosen
    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.
  • B. Pamela Gray
    Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
  • C. Barbara McLean
    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.
  • D. Lois Duncan
    Lois Duncan was an American author best known for her suspenseful young adult novels that often blend mystery, psychological tension, and elements of the supernatural.
  • E. Rebecca Giblin
    Rebecca Giblin is an Australian legal scholar and advocate specializing in copyright, technology, and creators’ rights, known for her work on how digital platforms affect cultural industries.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a481908190a1418d9fcfaf8137 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dbbacf08190bbbb2863e19c3e7c completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.