Triple

T8431714
Position Surface form Disambiguated ID Type / Status
Subject MI-5 E199128 entity
Predicate hasCastMember P2308 FINISHED
Object Peter Firth E657033 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 Firth | Statement: [MI-5, hasCastMember, Peter Firth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Firth
Context triple: [MI-5, hasCastMember, Peter Firth]
  • A. Peter Firth chosen
    Peter Firth is an English actor best known for his roles in the film "Equus" and the television series "Spooks" (MI-5).
  • B. Ian Hanmore
    Ian Hanmore is a Scottish character actor known for his work in British film and television, including roles in series like Game of Thrones and Doctor Who.
  • C. Kevin Whately
    Kevin Whately is an English actor best known for his role as Detective Sergeant Robbie Lewis in the television series "Inspector Morse" and its spin-off "Lewis."
  • D. Daniel Mays
    Daniel Mays is a British actor known for his versatile character roles in film and television, including prominent performances in projects like "Line of Duty," "Ashes to Ashes," and "Rogue One: A Star Wars Story."
  • E. Rupert Graves
    Rupert Graves is a British actor best known for his film and television work, including his role as DI Lestrade in the BBC series "Sherlock."
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f030fc8190961bcb067350e3e6 completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:07 p.m.