Triple

T19447463
Position Surface form Disambiguated ID Type / Status
Subject John D. Brancato E486517 entity
Predicate notableWork P4 FINISHED
Object The Net 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: The Net | Statement: [John D. Brancato, notableWork, The Net]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Net
Context triple: [John D. Brancato, notableWork, The Net]
  • A. The Net chosen
    The Net is a 1995 techno-thriller film starring Sandra Bullock as a computer analyst whose identity is erased by cybercriminals, directed by Irwin Winkler.
  • B. The Network
    The Network is an organization or collective with which Balducci is professionally or formally associated.
  • C. The Network
    The Network is a powerful, clandestine organization in the Utopia universe that orchestrates widespread control and manipulation from behind the scenes.
  • D. The Network
    The Network is a mysterious, satirical new wave/punk side project band believed to feature Green Day members, including Billie Joe Armstrong, performing under disguises and pseudonyms.
  • E. Under the Net
    Under the Net is Iris Murdoch’s debut philosophical novel, a comic yet reflective exploration of art, language, and moral uncertainty set in postwar London.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338b25d88190bc137a411576c73f completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.