Triple

T22798089
Position Surface form Disambiguated ID Type / Status
Subject Luke Mitchell E564303 entity
Predicate notableWork P4 FINISHED
Object Legacies 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: Legacies | Statement: [Luke Mitchell, notableWork, Legacies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legacies
Context triple: [Luke Mitchell, notableWork, Legacies]
  • A. Legacies chosen
    Legacies is a supernatural drama TV series set in The Vampire Diaries universe, following the next generation of witches, vampires, and werewolves at the Salvatore School for the Young and Gifted.
  • B. Legacies
    Legacies is a thriller novel by F. Paul Wilson featuring his recurring antihero Repairman Jack as he becomes entangled in a dangerous conspiracy surrounding a mysterious inheritance.
  • C. The Legacy
    "The Legacy" is a historical novel by American writer Howard Fast that continues his tradition of politically engaged, socially conscious storytelling.
  • D. The Legacy
    The Legacy is a Danish drama television series that explores the complex relationships and conflicts within a family after the death of a famous artist matriarch.
  • E. The Legacy
    The Legacy is a Canadian film produced by acclaimed Quebecois producer Denise Robert, known for her influential contributions to French-language cinema.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cda76448190891c5190e1d75ae0 completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.