Triple

T7560236
Position Surface form Disambiguated ID Type / Status
Subject Old Wounds E178774 entity
Predicate starsActor P5563 FINISHED
Object Halston Sage E31725 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: Halston Sage | Statement: [Old Wounds, starsActor, Halston Sage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halston Sage
Context triple: [Old Wounds, starsActor, 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. 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."
  • C. Halston
    Halston is a biographical drama miniseries that chronicles the rise and fall of the iconic American fashion designer Roy Halston Frowick.
  • D. 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.
  • E. Christian Siriano
    Christian Siriano is an American fashion designer known for winning "Project Runway" and for his inclusive, red-carpet–focused couture.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856cc869081909555ae03dec52288 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.