Triple

T9780560
Position Surface form Disambiguated ID Type / Status
Subject Frankie Faison E237357 entity
Predicate notableWork P4 FINISHED
Object City of Hope E620338 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: City of Hope | Statement: [Frankie Faison, notableWork, City of Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Hope
Context triple: [Frankie Faison, notableWork, City of Hope]
  • A. City of Hope chosen
    City of Hope is a 1991 American independent drama film directed by John Sayles, known for its ensemble cast and exploration of urban political corruption and social tensions.
  • B. District of Hope
    The District of Hope is a small municipality in southwestern British Columbia, Canada, known as a gateway community at the eastern end of the Fraser Valley near the junction of several major highways.
  • C. City of Hawthorne
    The City of Hawthorne is a suburban community in southwestern Los Angeles County, California, known for its aerospace industry presence and proximity to major Los Angeles transportation corridors.
  • D. Riddle Hospital
    Riddle Hospital is a community hospital and medical center serving patients in Delaware County, Pennsylvania.
  • E. City of Medicine
    City of Medicine is a nickname for Durham, North Carolina, highlighting its prominence in healthcare, medical research, and biotechnology.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.