Triple

T16813155
Position Surface form Disambiguated ID Type / Status
Subject Benno Levin E408666 entity
Predicate appearsIn P795 FINISHED
Object Cosmopolis E68893 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: Cosmopolis | Statement: [Benno Levin, appearsIn, Cosmopolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cosmopolis
Context triple: [Benno Levin, appearsIn, Cosmopolis]
  • A. Cosmopolis chosen
    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)
    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 (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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2df5c888190a462614e1432c357 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.