Triple

T2899144
Position Surface form Disambiguated ID Type / Status
Subject Julianne Moore E62613 entity
Predicate notableWork P4 FINISHED
Object The Hours E83573 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: The Hours | Statement: [Julianne Moore, notableWork, The Hours]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hours
Context triple: [Julianne Moore, notableWork, The Hours]
  • A. The Hours chosen
    The Hours is a 2002 drama film, based on Michael Cunningham’s Pulitzer Prize–winning novel, that interweaves the lives of three women in different eras connected by Virginia Woolf’s Mrs Dalloway.
  • B. Truth and Beauty
    Truth and Beauty is the Latin-inspired motto of the Institute for Advanced Study, encapsulating its pursuit of fundamental understanding in mathematics and the sciences.
  • C. Revolutionary Road
    Revolutionary Road is a 2008 drama film, based on Richard Yates's novel, that explores the disintegration of a suburban 1950s marriage and stars Leonardo DiCaprio and Kate Winslet.
  • D. The Waterdance
    The Waterdance is a 1992 independent drama film about a writer adjusting to life in a spinal-cord-injury rehabilitation center after a paralyzing accident.
  • E. Pieces of April
    Pieces of April is a 2003 indie dramedy film about a young woman hosting a tense Thanksgiving dinner for her estranged family in a cramped New York City apartment.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0ad7bbc8190822738baa6935b74 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0318c544881909f6aabfb2d25e724 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:10 p.m.