Triple

T3564595
Position Surface form Disambiguated ID Type / Status
Subject Starsky & Hutch E75413 entity
Predicate setting P1957 FINISHED
Object Bay City (fictional)
Bay City is the fictional, crime-ridden California metropolis that serves as the primary backdrop for the 1970s television series "Starsky & Hutch."
 E369333 NE FINISHED

How this triple was built (4 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) | Statement: [Starsky & Hutch, setting, Bay City (fictional)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bay City (fictional)
Context triple: [Starsky & Hutch, setting, Bay City (fictional)]
  • A. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • B. Bay City
    Bay City is a small industrial and port city in east-central Michigan located near Saginaw Bay on Lake Huron.
  • C. Gate City
    Gate City is a commonly used nickname for Greensboro, North Carolina, reflecting its historic role as a major transportation and commercial hub.
  • D. River City
    River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
  • E. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bay City (fictional)
Triple: [Starsky & Hutch, setting, Bay City (fictional)]
Generated description
Bay City is the fictional, crime-ridden California metropolis that serves as the primary backdrop for the 1970s television series "Starsky & Hutch."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bay City (fictional)
Target entity description: Bay City is the fictional, crime-ridden California metropolis that serves as the primary backdrop for the 1970s television series "Starsky & Hutch."
  • A. Bell City
    Bell City is a nickname for Bristol, Connecticut, historically known for its prominent clock and bell manufacturing industry.
  • B. Bay City
    Bay City is a small industrial and port city in east-central Michigan located near Saginaw Bay on Lake Huron.
  • C. Gate City
    Gate City is a commonly used nickname for Greensboro, North Carolina, reflecting its historic role as a major transportation and commercial hub.
  • D. River City
    River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
  • E. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • F. None of above. chosen

Provenance (5 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a76c008190a2056b6d990776fe completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bba91d08819081a433c9f06a2c2b completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bda1e1ac819094ac613c0e55c048 completed March 13, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5adac0481908b9053585c317be0 completed March 13, 2026, 11:31 a.m.
Created at: March 8, 2026, 3:21 p.m.