Triple

T16225975
Position Surface form Disambiguated ID Type / Status
Subject Dark Knight E393844 entity
Predicate model P2006 FINISHED
Object Wild Mouse E971133 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: Wild Mouse | Statement: [Dark Knight, model, Wild Mouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wild Mouse
Context triple: [Dark Knight, model, Wild Mouse]
  • A. Wild Mouse chosen
    Wild Mouse is a classic compact wooden roller coaster design that has been installed at numerous amusement parks worldwide, known for its tight, sharp turns and small cars.
  • B. Sugar Mice
    "Sugar Mice" is a melodic rock ballad by British neo-progressive rock band Marillion, known for its emotional lyrics and prominent guitar work.
  • C. Lighthouse Mouse
    Lighthouse Mouse is a Warner Bros. Merrie Melodies animated short featuring the kangaroo character Hippety Hopper in a comedic seaside adventure.
  • D. The Yankee Doodle Mouse
    The Yankee Doodle Mouse is a 1943 World War II-themed Tom and Jerry cartoon short renowned for its inventive battle gags and Academy Award-winning animated slapstick.
  • E. King of the Mice
    King of the Mice is a fictional monarch of a mouse kingdom, best known as the antagonist ruler of the mice in E.T.A. Hoffmann’s tale "The Nutcracker and the Mouse King" and its adaptations.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d25f8bc81909aa59b794a528db2 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079c4184819091d3355a5afaeced completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.