Triple

T14294660
Position Surface form Disambiguated ID Type / Status
Subject The Invasion E354406 entity
Predicate producer 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 Invasion, producer, Peter Bryant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Bryant
Context triple: [The Invasion, producer, 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717b35ec81908968994e65737c66 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2281d481909714f8d8cfe71514 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.