Triple

T19092684
Position Surface form Disambiguated ID Type / Status
Subject The Spook’s Apprentice E467326 entity
Predicate notableAntagonist P11706 FINISHED
Object Mother Malkin 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: Mother Malkin | Statement: [The Spook’s Apprentice, notableAntagonist, Mother Malkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mother Malkin
Context triple: [The Spook’s Apprentice, notableAntagonist, Mother Malkin]
  • A. Mother Malkin chosen
    Mother Malkin is the powerful and malevolent witch antagonist in the fantasy film "Seventh Son."
  • B. Moira Queen
    Moira Queen is a prominent fictional matriarch and businesswoman in DC's Arrowverse, best known as Oliver Queen's morally complex mother on the television series "Arrow."
  • C. Maria Magdalena Keverich
    Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
  • D. Joan Dark
    Joan Dark is the protagonist of the 2019 science fiction action film "Doom: Annihilation," a space marine who battles demonic forces unleashed on a Martian moon.
  • E. Joan Dark
    Joan Dark is the idealistic, reform-minded protagonist of Bertolt Brecht’s play "Saint Joan of the Stockyards," modeled as a modern, socially conscious counterpart to Joan of Arc.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34c22a08190bf34f92f727268c5 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.