Triple

T20178372
Position Surface form Disambiguated ID Type / Status
Subject Goosebumps (2015 film) E492657 entity
Predicate castMember P1668 FINISHED
Object Halston Sage 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: Halston Sage | Statement: [Goosebumps (2015 film), castMember, Halston Sage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halston Sage
Context triple: [Goosebumps (2015 film), castMember, Halston Sage]
  • A. Halston Sage chosen
    Halston Sage is an American actress best known for her role as Lieutenant Alara Kitan on the science fiction television series "The Orville."
  • B. David Sabin
    David Sabin is a film producer best known for his work on the 1971 comedy movie "Cry Uncle!".
  • C. Stephen Moore
    Stephen Moore was a British actor best known for voicing Marvin the Paranoid Android in the original radio and television adaptations of "The Hitchhiker’s Guide to the Galaxy."
  • D. Halston
    Halston is a biographical drama miniseries that chronicles the rise and fall of the iconic American fashion designer Roy Halston Frowick.
  • E. Jonathan Sachs
    Jonathan Sachs is an American software developer best known as a co-founder of Lotus Development Corporation and co-creator of the Lotus 1-2-3 spreadsheet program.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ed07c8819091bd9ffda237a91c completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.