Triple

T19447464
Position Surface form Disambiguated ID Type / Status
Subject John D. Brancato E486517 entity
Predicate notableWork P4 FINISHED
Object Surrogates 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: Surrogates | Statement: [John D. Brancato, notableWork, Surrogates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrogates
Context triple: [John D. Brancato, notableWork, Surrogates]
  • A. Surrogates chosen
    Surrogates is a 2009 science fiction action film set in a future where humans live in isolation and interact through robotic avatars, starring Bruce Willis.
  • B. I Am Mother
    I Am Mother is a 2019 science fiction thriller film about a teenage girl raised by a robot in a post-apocalyptic bunker, starring Hilary Swank.
  • C. Ex Machina
    Ex Machina is a 2014 science fiction psychological thriller film about artificial intelligence and human consciousness, written and directed by Alex Garland.
  • D. Ex Machina
    Ex Machina is a Quebec-based multidisciplinary theatre and production company known for its innovative integration of technology, visual design, and storytelling in stage and media works.
  • E. Ex Machina
    Ex Machina is a critically acclaimed comic book series that blends political drama and superhero elements, following a former costumed vigilante who becomes mayor of New York City.
  • 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.