Triple

T10195143
Position Surface form Disambiguated ID Type / Status
Subject Ghost in the Shell (2017 film) E238142 entity
Predicate editedBy P1954 FINISHED
Object Neil Smith E248786 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: Neil Smith | Statement: [Ghost in the Shell (2017 film), editedBy, Neil Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Smith
Context triple: [Ghost in the Shell (2017 film), editedBy, Neil Smith]
  • A. Neil Smith chosen
    Neil Smith is a film editor known for his work on major feature films, including the fantasy action movie "Snow White and the Huntsman."
  • B. David Soward
    David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
  • C. Peter McLaren
    Peter McLaren is a prominent critical pedagogue and educational theorist known for his Marxist-informed analyses of schooling, social justice, and revolutionary education.
  • D. Russell Smith
    Russell Smith is a film producer best known for his work on the acclaimed coming-of-age drama "Young Adult."
  • E. Martin Lisemore
    Martin Lisemore was a British television producer best known for his acclaimed work on high-profile BBC drama series in the 1970s.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317dbfb7c819087aafc7161b14707 completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:13 p.m.