Triple

T10918724
Position Surface form Disambiguated ID Type / Status
Subject The Haxan Cloak E257889 entity
Predicate hasFilmScore P57302 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: [The Haxan Cloak, hasFilmScore, Joker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joker
Context triple: [The Haxan Cloak, hasFilmScore, 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. 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.
  • 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 a skilled and wisecracking pilot in the Mass Effect video game series, known for flying the Normandy and providing comic relief.
  • E. Joker
    Joker is the popular nickname of Serbian NBA superstar Nikola Jokić, a dominant, playmaking center for the Denver Nuggets.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2170bb97c81908e8d209ddb630601 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.