Triple

T1747842
Position Surface form Disambiguated ID Type / Status
Subject Joker (2019 film) E38375 entity
Predicate title P38 FINISHED
Object Joker E38375 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: Joker | Statement: [Joker (2019 film), title, Joker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joker
Context triple: [Joker (2019 film), title, Joker]
  • A. Joker chosen
    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.
  • B. Bane
    Bane is a formidable masked villain in the Batman universe, known for his immense physical strength, strategic genius, and role as one of Batman’s most dangerous adversaries.
  • C. Joker's Jinx
    Joker's Jinx is a high-speed, launched steel roller coaster themed to the DC Comics villain and located at Six Flags America in Maryland.
  • D. Batman
    Batman is a popular DC Comics superhero and cultural icon known for fighting crime in Gotham City using his intellect, detective skills, and advanced technology instead of superhuman powers.
  • E. Oddjob
    Oddjob is the iconic, silent henchman from the James Bond film "Goldfinger," known for his deadly steel-rimmed bowler hat and formidable physical strength.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e058948190939e936af8f0e221 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.