Triple

T12499348
Position Surface form Disambiguated ID Type / Status
Subject Patricia Medina E298776 entity
Predicate spouse P13 FINISHED
Object Richard Greene E437305 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: Richard Greene | Statement: [Patricia Medina, spouse, Richard Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Greene
Context triple: [Patricia Medina, spouse, Richard Greene]
  • A. Richard Greene chosen
    Richard Greene was a British film and television actor best known for his leading roles in adventure and period films of the 1930s–1950s, including portraying Robin Hood in the popular TV series "The Adventures of Robin Hood."
  • B. Daniel Green
    Daniel Green is a music producer known for his work on the track "Paradise."
  • C. Jacques Greene
    Jacques Greene is a Canadian electronic music producer and DJ known for his emotive, R&B-infused house tracks and influential releases on labels like LuckyMe.
  • D. Richard Shepard
    Richard Shepard is an American film and television director, producer, and screenwriter known for projects such as "The Matador" and episodes of acclaimed series like "Girls" and "Ugly Betty."
  • E. David Greene
    David Greene was a British-born film and television director known for his work on acclaimed TV movies and miniseries from the 1960s through the 1990s.
  • 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.