Triple

T15419337
Position Surface form Disambiguated ID Type / Status
Subject Owen Wilson as Ken Hutchinson E369331 entity
Predicate setting P1957 FINISHED
Object Bay City (fictional city) E369333 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: Bay City (fictional city) | Statement: [Owen Wilson as Ken Hutchinson, setting, Bay City (fictional city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay City (fictional city)
Context triple: [Owen Wilson as Ken Hutchinson, setting, Bay City (fictional city)]
  • A. Bay City (fictional) chosen
    Bay City is the fictional, crime-ridden California metropolis that serves as the primary backdrop for the 1970s television series "Starsky & Hutch."
  • B. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • C. Ice City
    Ice City is the popular nickname for Harbin, a major northeastern Chinese city renowned for its frigid winters and spectacular ice and snow sculptures.
  • D. Spring City
    Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
  • E. Spring City
    Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff219fabe481909162baba9212ac1f completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:20 a.m.