Triple

T18259384
Position Surface form Disambiguated ID Type / Status
Subject Richard Greene E437305 entity
Predicate spouse P13 FINISHED
Object Patricia Medina 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: Patricia Medina | Statement: [Richard Greene, spouse, Patricia Medina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Medina
Context triple: [Richard Greene, spouse, Patricia Medina]
  • A. Patricia Medina chosen
    Patricia Medina was a British-born film actress known for her roles in Hollywood adventure and mystery films from the 1940s through the 1960s.
  • B. Patricia Herrera
    Patricia Herrera is a Venezuelan-born fashion figure and daughter of renowned designer Carolina Herrera, known for her involvement in the fashion and arts world.
  • C. Patricia Pulido
    Patricia Pulido is a notable individual who carries the Pulido surname, recognized enough to be specifically cited as a bearer of the name.
  • D. Patricia Arellano
    Patricia Arellano is a person notable enough to be recognized as a bearer of the surname Arellano.
  • E. Patricia García
    Patricia García is a Spanish singer and performer known for her work in contemporary music and live stage shows.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd89899c8190b8b652c4f61aa5cf completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.