Triple

T5751640
Position Surface form Disambiguated ID Type / Status
Subject Rachel Dawes E126866 entity
Predicate killedBy P4646 FINISHED
Object The Joker E543850 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: The Joker | Statement: [Rachel Dawes, killedBy, The Joker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Joker
Context triple: [Rachel Dawes, killedBy, The Joker]
  • A. The Joker chosen
    The Joker is Batman’s arch-nemesis, a psychopathic clown-themed supervillain known for his chaotic schemes, dark humor, and iconic status in DC Comics.
  • B. Joker
    Joker is a 2019 psychological thriller film centered on the origin story of Batman’s iconic nemesis, depicting his descent into madness and violence in a gritty, character-driven narrative.
  • C. Joker
    Joker is a DC Comics–themed roller coaster at Six Flags México known for its chaotic, unpredictable ride experience.
  • D. Joker
    Joker is the masked protagonist of Persona 5, a stylish phantom thief who leads the Phantom Thieves of Hearts and wields dual personas in battle.
  • E. Two-Face
    Two-Face is a prominent Batman supervillain from DC Comics, formerly Gotham City district attorney Harvey Dent, whose scarred dual visage and coin-flipping obsession embody his split between justice and criminality.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a167f2508190a8dd507f237e771b completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:48 p.m.