Triple

T11195409
Position Surface form Disambiguated ID Type / Status
Subject Loren Carpenter E264908 entity
Predicate workedFor P1910 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: [Loren Carpenter, workedFor, Lucasfilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucasfilm
Context triple: [Loren Carpenter, workedFor, 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8bf14e481908563b15790af4d20 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4840640688190a5b3c36883b8fce8 completed April 19, 2026, 7:28 a.m.
Created at: April 8, 2026, 9:29 p.m.