Triple

T18343682
Position Surface form Disambiguated ID Type / Status
Subject Mary Amberley E439475 entity
Predicate influences P9 FINISHED
Object Anthony Beavis 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: Anthony Beavis | Statement: [Mary Amberley, influences, Anthony Beavis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Beavis
Context triple: [Mary Amberley, influences, Anthony Beavis]
  • A. Anthony Beavis chosen
    Anthony Beavis is the introspective, intellectually driven protagonist of Aldous Huxley’s novel "Eyeless in Gaza," whose life story traces his moral and spiritual evolution amid the disillusionment of the early 20th century.
  • B. Antron McCray
    Antron McCray is one of the five Black and Latino teenagers wrongfully convicted in the 1989 Central Park jogger case, later known collectively as the Exonerated Five.
  • C. Melvin Odoom
    Melvin Odoom is a British television and radio presenter and comedian known for his work on UK entertainment and music shows.
  • D. Rasual Butler
    Rasual Butler was an American professional basketball player and sharpshooting wing who played over a decade in the NBA for multiple teams.
  • E. Darious
    Darious is a given name, typically considered a variant spelling of Darius, used for males in various cultures.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f2c8ec8190b045482846a68204 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.