Triple

T12632018
Position Surface form Disambiguated ID Type / Status
Subject writing the screenplay of Dirty Harry E301665 entity
Predicate definesSetting P15599 FINISHED
Object San Francisco E242 NE FINISHED

How this triple was built (3 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 | Statement: [writing the screenplay of Dirty Harry, definesSetting, San Francisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Francisco
Context triple: [writing the screenplay of Dirty Harry, definesSetting, San Francisco]
  • A. San Francisco chosen
    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.
  • B. San Francisco
    San Francisco is a coastal neighborhood of the city of Telde in Gran Canaria, Spain, known for its traditional Canarian architecture and historic character.
  • C. 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.
  • D. San Francisco
    San Francisco is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and proximity to the Bohol Sea.
  • E. San Francisco
    San Francisco is a coastal municipality in the Philippine province of Surigao del Norte, known for its island landscapes and fishing communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: definesSetting
Context triple: [writing the screenplay of Dirty Harry, definesSetting, San Francisco]
  • A. coversSetting
    Indicates that one entity includes or addresses a particular setting or context within its scope.
  • B. laterDefinedSetting
    Indicates that a particular setting is defined or specified at a later point in time relative to another reference or context.
  • C. standardSettingFor
    Indicates that one entity establishes or defines the norms, criteria, or benchmarks that another entity is expected to follow or be measured against.
  • D. setting
    Indicates the place, time, or context in which an event, action, or interaction occurs.
  • E. usedAsSettingFor chosen
    Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
  • F. None of above.

Provenance (4 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ae493481908f82e0d05dce20bd completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d672808190b72a923e285a91bb completed May 2, 2026, 11:12 p.m.
PD Predicate disambiguation batch_69d960b47130819097e1162ed4fc993a completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:15 p.m.