Triple

T13145789
Position Surface form Disambiguated ID Type / Status
Subject Jon Kilik E312330 entity
Predicate notableWork P4 FINISHED
Object The Good Thief E215588 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 Good Thief | Statement: [Jon Kilik, notableWork, The Good Thief]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Good Thief
Context triple: [Jon Kilik, notableWork, The Good Thief]
  • A. The Good Thief chosen
    The Good Thief is a 2002 crime drama film directed by Neil Jordan that follows an aging gambler and thief attempting one last elaborate heist on the French Riviera.
  • B. Honest Thief
    Honest Thief is a 2020 action-thriller film starring Liam Neeson as a reformed bank robber who becomes the target of corrupt FBI agents after trying to turn himself in.
  • C. The Thief
    The Thief is a 1952 American film noir notable for its nearly wordless storytelling and tense Cold War espionage plot.
  • D. Once a Thief
    Once a Thief is a 1991 Hong Kong action-comedy film blending heist capers with stylized gunplay and humor.
  • E. Once a Thief
    Once a Thief is a 1965 American crime drama film directed by Ralph Nelson, centered on an ex-convict struggling to go straight while being pulled back into the criminal underworld.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae675508190991ce5902768c45a completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.