Triple

T3691924
Position Surface form Disambiguated ID Type / Status
Subject Sin City: A Dame to Kill For E78361 entity
Predicate setIn P1393 FINISHED
Object Basin City E237843 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: Basin City | Statement: [Sin City: A Dame to Kill For, setIn, Basin City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basin City
Context triple: [Sin City: A Dame to Kill For, setIn, Basin City]
  • A. Basin City chosen
    Basin City is the gritty, crime-ridden fictional metropolis that serves as the primary setting for Frank Miller’s Sin City graphic novels and their film adaptations.
  • B. Limestone City
    Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
  • C. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • D. Pelham
    Pelham is an English surname historically associated with prominent political and aristocratic families in Britain.
  • E. Pelham
    Pelham is the first name of P. G. Wodehouse, the celebrated English humorist and author known for his Jeeves and Wooster stories.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e783a88190b2837a68b8723a25 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3cd64c4819098f9f93a8d2efdf7 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.