Triple

T13029142
Position Surface form Disambiguated ID Type / Status
Subject Paramount, California E326385 entity
Predicate nearbyMajorUrbanCenter P36605 FINISHED
Object Downey E148122 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: Downey | Statement: [Paramount, California, nearbyMajorUrbanCenter, Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downey
Context triple: [Paramount, California, nearbyMajorUrbanCenter, Downey]
  • A. Downey
    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 chosen
    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 the surname of American singer, songwriter, and actress Brandy, known for her influential R&B music career and roles in film and television.
  • D. Norwood
    Norwood is a small town located in Stanly County in the U.S. state of North Carolina.
  • E. Norwood
    Norwood is a small village located within Charlevoix County in the U.S. state of Michigan.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804b743c8190810dc5c14bc6d912 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fa10fc81908a37b85894f8f849 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:54 p.m.