Triple

T9787392
Position Surface form Disambiguated ID Type / Status
Subject Alvy Ray Smith E237518 entity
Predicate employer P7 FINISHED
Object Lucasfilm E32166 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: Lucasfilm | Statement: [Alvy Ray Smith, employer, Lucasfilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucasfilm
Context triple: [Alvy Ray Smith, employer, Lucasfilm]
  • A. Lucasfilm chosen
    Lucasfilm is a renowned American film and television production company best known for creating the Star Wars and Indiana Jones franchises.
  • B. Lucasfilm Story Group
    The Lucasfilm Story Group is a team within Lucasfilm responsible for overseeing and maintaining the continuity and canon of Star Wars storytelling across films, television, books, comics, and other media.
  • C. Disney–Lucasfilm Press
    Disney–Lucasfilm Press is a publishing imprint of Disney that produces books and related media tied to the Star Wars and other Lucasfilm franchises.
  • D. Alcor Films
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • E. Endor Productions
    Endor Productions is a British television production company known for creating high-quality drama series and films for major broadcasters and streaming platforms.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda211b0608190bc8ceb905d02db83 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c427cb2c81909fce8e1958ab3282 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:27 p.m.