Triple

T20407000
Position Surface form Disambiguated ID Type / Status
Subject Avri Roel Downey E500493 entity
Predicate familyName P18 FINISHED
Object Downey 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: Downey | Statement: [Avri Roel Downey, familyName, Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downey
Context triple: [Avri Roel Downey, familyName, Downey]
  • A. Downey chosen
    Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
  • B. Downey
    Downey is a suburban city in southeastern Los Angeles County, California, known historically for its aerospace industry and as the birthplace of the Apollo space program.
  • C. Norwood
    Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
  • D. Norwood
    Norwood is a small village located within Charlevoix County in the U.S. state of Michigan.
  • E. Norwood
    Norwood is a locality in South Africa situated near the town of Houghton, known primarily as a residential suburb.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67993dc7081908ebd54ec92e712ea completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.