Triple

T675432
Position Surface form Disambiguated ID Type / Status
Subject Kim Kardashian E13066 entity
Predicate child P120 FINISHED
Object Chicago West E55186 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 West | Statement: [Kim Kardashian, child, Chicago West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago West
Context triple: [Kim Kardashian, child, Chicago West]
  • A. Chicago West chosen
    Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
  • B. North Side of Chicago
    The North Side of Chicago is a densely populated, largely residential and commercial area of the city known for its lakefront neighborhoods, cultural attractions, and vibrant nightlife.
  • C. West Chicago, Illinois
    West Chicago, Illinois is a suburban city in DuPage County known for its historic railroad roots and diverse residential community west of Chicago.
  • D. West Side, Chicago
    West Side, Chicago is a major region of Chicago known for its diverse neighborhoods, rich cultural history, and significant roles in the city’s social and economic life.
  • E. Berwyn, Illinois
    Berwyn, Illinois is a suburban city just west of Chicago known for its historic bungalows, diverse community, and vibrant arts and dining scene.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0266e7c8190a94c4b4b761c59f4 completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ccab5bc819099c0f060147c8f27 completed March 7, 2026, 12:40 p.m.
Created at: March 1, 2026, 7:36 p.m.