Triple

T4977672
Position Surface form Disambiguated ID Type / Status
Subject Emma Tillinger Koskoff E111807 entity
Predicate notableWork P4 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: [Emma Tillinger Koskoff, notableWork, Joker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joker
Context triple: [Emma Tillinger Koskoff, notableWork, 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. 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.
  • E. 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.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7232bd8c8190b325c9198e8b2fa1 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0634b48190acb4a1834f5647cf completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.