Triple

T22595114
Position Surface form Disambiguated ID Type / Status
Subject The 9th Life of Louis Drax E574655 entity
Predicate editor P1954 FINISHED
Object Heather S. Persons 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: Heather S. Persons | Statement: [The 9th Life of Louis Drax, editor, Heather S. Persons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather S. Persons
Context triple: [The 9th Life of Louis Drax, editor, Heather S. Persons]
  • A. Heather Persons chosen
    Heather Persons is a film editor best known for her work on the independent comedy-drama "Sunshine Cleaning."
  • B. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • C. Christina M. Hixson
    Christina M. Hixson is a philanthropist and longtime supporter of education and the arts, best known for her major charitable contributions to academic institutions.
  • D. Kimberly J. Scott
    Kimberly J. Scott is a musical artist known for contributing vocals to tracks on T.I.’s influential Southern hip hop album "Trap Muzik."
  • E. Jennifer L. Johnson
    Jennifer L. Johnson is a member of the Johnson & Johnson family, associated with the lineage behind the multinational healthcare and consumer goods company.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16164d690819096f7c4efb6cedad9 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.