Triple

T18523279
Position Surface form Disambiguated ID Type / Status
Subject Sharona Fleming E452644 entity
Predicate residence P75 FINISHED
Object San Francisco (fictional) 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: San Francisco (fictional) | Statement: [Sharona Fleming, residence, San Francisco (fictional)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Francisco (fictional)
Context triple: [Sharona Fleming, residence, San Francisco (fictional)]
  • A. San Francisco (fictional setting) chosen
    San Francisco (fictional setting) is a stylized version of the real California city frequently used in films and literature as an urban backdrop for crime, action, and character-driven stories.
  • B. Fog City
    Fog City is a popular nickname for San Francisco, highlighting the city's famously frequent fog.
  • C. Fog City
    Fog City is a popular nickname for Chongqing, a major southwestern Chinese metropolis famous for its humid, mist-covered climate and dense urban landscape.
  • D. San Francisco
    San Francisco is a major coastal city in Northern California known for its hilly landscape, iconic Golden Gate Bridge, and role as a historic center of technology and counterculture.
  • E. San Francisco
    San Francisco is a municipality in Colombia’s Putumayo Department, located in the southwestern part of the country near the Andean and Amazonian regions.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338f6da48190bdb374019d10db05 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.