Triple

T21104893
Position Surface form Disambiguated ID Type / Status
Subject Richard Beymer E520013 entity
Predicate birthName P65 FINISHED
Object George Richard Beymer Jr. E520013 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: George Richard Beymer Jr. | Statement: [Richard Beymer, birthName, George Richard Beymer Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Richard Beymer Jr.
Context triple: [Richard Beymer, birthName, George Richard Beymer Jr.]
  • A. Richard Beymer chosen
    Richard Beymer is an American actor best known for playing Tony in the 1961 film adaptation of the musical "West Side Story."
  • B. Julian Kaye
    Julian Kaye is a charismatic Los Angeles male escort whose luxurious lifestyle unravels when he becomes entangled in a murder investigation.
  • C. Billy Hartnett
    Billy Hartnett is the commonly used name for William Hartnett, likely referring to him in informal or public contexts.
  • D. Ormond Beatty
    Ormond Beatty was a 19th-century American educator and academic administrator best known for serving as president of Centre College in Kentucky.
  • E. John William Ferrell
    John William Ferrell is an American actor, comedian, producer, and writer best known for his work on "Saturday Night Live" and in hit comedy films such as "Anchorman" and "Elf."
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b6150f08190a3738f1eda7fa834 completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965dd465c8190af8448d5db296d79 completed May 17, 2026, 6:53 a.m.
Created at: April 16, 2026, 2:53 p.m.