Triple

T7494525
Position Surface form Disambiguated ID Type / Status
Subject Beauty and the Beast (2017 film) E177090 entity
Predicate producer P490 FINISHED
Object David Hoberman E244202 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: David Hoberman | Statement: [Beauty and the Beast (2017 film), producer, David Hoberman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Hoberman
Context triple: [Beauty and the Beast (2017 film), producer, David Hoberman]
  • A. David Hoberman chosen
    David Hoberman is an American film and television producer known for founding Mandeville Films and producing acclaimed movies such as "The Fighter."
  • B. Douglas Kellner
    Douglas Kellner is an American critical theorist and cultural studies scholar known for his analyses of media, technology, and contemporary society.
  • C. Fredric Jameson
    Fredric Jameson is an American literary critic and Marxist theorist best known for his analyses of postmodernism, late capitalism, and cultural theory.
  • D. David Berenbaum
    David Berenbaum is an American screenwriter best known for writing the popular Christmas comedy film "Elf."
  • E. Susan Buck-Morss
    Susan Buck-Morss is an American philosopher and critical theorist known for her work on Frankfurt School thought, visual culture, and global political modernity.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c819f00819087fef27e4f4fdc1c completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:43 p.m.