Triple

T20773489
Position Surface form Disambiguated ID Type / Status
Subject Jean Willes E511296 entity
Predicate placeOfDeath P21 FINISHED
Object Van Nuys 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: Van Nuys | Statement: [Jean Willes, placeOfDeath, Van Nuys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Nuys
Context triple: [Jean Willes, placeOfDeath, Van Nuys]
  • A. Van Nuys, California chosen
    Van Nuys, California is a neighborhood in Los Angeles known historically for its automotive manufacturing plants and its role as a major industrial and residential hub in the San Fernando Valley.
  • B. Los Feliz
    Los Feliz is a historic and trendy neighborhood in central Los Angeles known for its hillside homes, proximity to Griffith Park, and vibrant dining and nightlife scene.
  • C. Encino
    Encino is a residential neighborhood in the San Fernando Valley region of Los Angeles known for its suburban character, affluent homes, and proximity to major city amenities.
  • D. Encino
    Encino is a small rural village located in Torrance County in central New Mexico, United States.
  • E. Torrance
    Torrance is a coastal city in southwestern Los Angeles County, California, known for its suburban neighborhoods, automotive and aerospace industries, and one of the region’s largest concentrations of Japanese-American residents.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c269638881909d96b847f7de5585 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.