Triple

T21780633
Position Surface form Disambiguated ID Type / Status
Subject Frankie Machine E537700 entity
Predicate livesIn P40 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: [Frankie Machine, livesIn, Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago
Context triple: [Frankie Machine, livesIn, Chicago]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462cae6481908d3e7f71683d8921 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.