Triple

T19092942
Position Surface form Disambiguated ID Type / Status
Subject Sarah Gadon E467333 entity
Predicate notableWork P4 FINISHED
Object Cosmopolis 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: Cosmopolis | Statement: [Sarah Gadon, notableWork, Cosmopolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosmopolis
Context triple: [Sarah Gadon, notableWork, Cosmopolis]
  • A. Cosmopolis
    Cosmopolis is a 2003 novel by Don DeLillo that follows a billionaire asset manager’s disorienting limousine ride across Manhattan, exploring themes of capitalism, technology, and existential alienation.
  • B. Cosmopolis (score) chosen
    Cosmopolis (score) is Howard Shore’s atmospheric and minimalist film soundtrack composed for David Cronenberg’s 2012 adaptation of Don DeLillo’s novel "Cosmopolis."
  • C. Cosmópolis
    Cosmópolis is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to other cities in the Campinas metropolitan region.
  • D. Logorama
    Logorama is a 2009 French animated short film that satirically depicts a world made entirely of corporate logos and mascots.
  • E. You Were Never Really Here
    You Were Never Really Here is a 2017 psychological thriller film directed by Lynne Ramsay, following a traumatized veteran turned brutal fixer who is hired to rescue a missing girl.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34cf5e481908e1f180dacd5602f completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.