Triple

T22079237
Position Surface form Disambiguated ID Type / Status
Subject Hannah E545601 entity
Predicate setting P1957 FINISHED
Object Chicago NE NERFINISHED

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: [Hannah, setting, Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago
Context triple: [Hannah, setting, Chicago]
  • A. Chicago
    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.
  • B. Chicago
    Chicago is a 1927 American silent crime-comedy film that satirically portrays the scandalous rise to fame of a woman accused of murder, adapted from Maurine Dallas Watkins' play of the same name.
  • C. 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.
  • D. Chicago chosen
    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.
  • E. Chicago
    "Chicago" is a novel by Egyptian author Alaa Al Aswany that intertwines the lives of Arab and American characters in the city of Chicago to explore themes of identity, politics, and exile.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b43df0819090c248ded98fad12 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.