Triple

T12992116
Position Surface form Disambiguated ID Type / Status
Subject L.A. Takedown E321930 entity
Predicate hasCastMember P2308 FINISHED
Object Peter Dobson E823789 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 Dobson | Statement: [L.A. Takedown, hasCastMember, Peter Dobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Dobson
Context triple: [L.A. Takedown, hasCastMember, Peter Dobson]
  • A. Peter Dobson chosen
    Peter Dobson is an American actor known for his work in film and television, particularly in character roles during the 1990s.
  • B. Peter Davis
    Peter Davis is a New Zealand academic and sociologist best known as the husband of former Prime Minister Helen Clark.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Peter Scudder
    Peter Scudder is a fictional character, most notably appearing as a key figure in John le Carré’s spy novel "The Little Drummer Girl."
  • E. Geoffrey Massey
    Geoffrey Massey was a prominent Canadian architect known for his influential modernist designs, including major educational and civic projects in British Columbia.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265d09d881909c21423d93af39cd completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 8:43 p.m.