Triple

T15036318
Position Surface form Disambiguated ID Type / Status
Subject The Krotons E378485 entity
Predicate producedBy P490 FINISHED
Object Peter Bryant E382595 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: Peter Bryant | Statement: [The Krotons, producedBy, Peter Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Bryant
Context triple: [The Krotons, producedBy, Peter Bryant]
  • A. Peter Bryant chosen
    Peter Bryant was a British television producer best known for his work on the science fiction series Doctor Who during the late 1960s.
  • B. Charles Wood
    Charles Wood was an Irish-born composer and influential teacher associated with the English Musical Renaissance, best known for his Anglican church music and role in shaping early 20th-century British composers.
  • C. Charles Wood
    Charles Wood was a British playwright and screenwriter known for his sharp, satirical writing and influential work in film, television, and theatre.
  • D. Andrew Brooke
    Andrew Brooke is a British actor known for his roles in television dramas and series, including the 2013 miniseries "The Bible."
  • E. John Bunn
    John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7db6f0081909ab35435c1e4ad13 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:59 a.m.