Triple

T16455960
Position Surface form Disambiguated ID Type / Status
Subject The Magician's Apprentice E399676 entity
Predicate featuresAntihero P93957 FINISHED
Object Missy E90859 NE FINISHED

How this triple was built (3 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: Missy | Statement: [The Magician's Apprentice, featuresAntihero, Missy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Missy
Context triple: [The Magician's Apprentice, featuresAntihero, Missy]
  • A. Missy chosen
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • B. Missy
    Missy is a small Swiss municipality located in the canton of Vaud.
  • C. Missi
    Missi is an American actress and singer known for her comedic and character roles in film and television, including appearances in "Dodgeball," "Galaxy Quest," and "Charlie and the Chocolate Factory."
  • D. Missy Gold
    Missy Gold is an American former child actress best known for her role as Katie Gatling on the 1980s sitcom "Benson."
  • E. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresAntihero
Context triple: [The Magician's Apprentice, featuresAntihero, Missy]
  • A. featuresAntagonistEntity
    Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
  • B. antagonistAttribute
    Indicates that an entity possesses a characteristic or role specifically associated with being an antagonist in a narrative or conflict.
  • C. facesAntagonistType
    Indicates that an entity confronts or opposes an antagonist of a specified type.
  • D. hasAntagonisticProtagonist
    Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
  • E. featuresCharacterWith chosen
    Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
  • F. None of above.

Provenance (4 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7d3bf4819092d5bff6de0859e8 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084aa47408190abe2ffaab84cdd85 completed May 10, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69e227048d608190a4205eae3117629a completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:10 a.m.