Triple

T11234933
Position Surface form Disambiguated ID Type / Status
Subject Little Caesar E265918 entity
Predicate setting P1957 FINISHED
Object Chicago E817598 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: Chicago | Statement: [Little Caesar, setting, Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago
Context triple: [Little Caesar, setting, Chicago]
  • A. Chicago
    Chicago is a long-running, Tony Award–winning Broadway musical known for its jazz-influenced score, satirical take on crime and celebrity, and iconic Bob Fosse–style choreography.
  • B. Chicago chosen
    Chicago is a major U.S. city in Illinois known for its significant cultural, economic, and academic influence, including its prominent universities and research institutions.
  • C. Chicago
    Chicago is an American rock band formed in 1967, known for its jazz-infused sound, prominent horn section, and numerous chart-topping hits across several decades.
  • D. Chicago
    "Chicago" is a politically charged 1971 protest song by British singer-songwriter Graham Nash, inspired by the 1968 Democratic National Convention and the trial of the Chicago Eight.
  • E. Chicago
    Chicago is a major U.S. city on Lake Michigan known for its influential architecture, diverse cultural scene, and status as a key economic and transportation hub in the Midwest.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e903b8ec81909f9c89776d35c650 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acf79b748190b117355f60c8c015 completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:30 p.m.