Triple

T2104674
Position Surface form Disambiguated ID Type / Status
Subject Tommy Hawk E37165 entity
Predicate represents P129 FINISHED
Object Chicago E143788 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: [Tommy Hawk, represents, Chicago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago
Context triple: [Tommy Hawk, represents, Chicago]
  • A. Windy City chosen
    Windy City is a popular nickname for Chicago, a major U.S. city on Lake Michigan known for its architecture, cultural institutions, and influential history in transportation and industry.
  • B. Windy City
    Windy City is a common nickname for Wellington, the capital city of New Zealand, renowned for its strong and frequent winds.
  • C. Chicago West
    Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
  • D. Peoria
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • E. Chicago metropolitan area
    The Chicago metropolitan area is a major U.S. urban and economic region centered on the city of Chicago, encompassing numerous surrounding suburbs across northeastern Illinois and parts of neighboring states.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbadcd4a081909d60b9b241950335 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69af175e79d881909390ae71cceb6db2 completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:43 p.m.