Triple

T12499368
Position Surface form Disambiguated ID Type / Status
Subject Patricia Medina E298776 entity
Predicate residence P75 FINISHED
Object Beverly Hills E164932 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: Beverly Hills | Statement: [Patricia Medina, residence, Beverly Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverly Hills
Context triple: [Patricia Medina, residence, Beverly Hills]
  • A. Beverly Hills chosen
    Beverly Hills is an affluent city in Los Angeles County, California, known for its luxury lifestyle, high-end shopping on Rodeo Drive, and status as a prominent enclave for wealthy residents and celebrities.
  • B. Beverly Hills
    Beverly Hills is a residential neighborhood within Upper Darby Township, Pennsylvania, known for its suburban character and proximity to Philadelphia.
  • C. Beverly Hills
    Beverly Hills is a commuter rail station in Chicago, Illinois, serving Metra's Rock Island District line.
  • D. Beverly Hills
    Beverly Hills is an upscale residential community in the Parish of St. Andrew, Jamaica, known for its affluent homes and scenic hillside location overlooking Kingston.
  • E. West Hollywood
    West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.