Triple

T14404129
Position Surface form Disambiguated ID Type / Status
Subject The Ribos Operation E357152 entity
Predicate featuresVoiceActor P39669 FINISHED
Object John Leeson E199479 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: John Leeson | Statement: [The Ribos Operation, featuresVoiceActor, John Leeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Leeson
Context triple: [The Ribos Operation, featuresVoiceActor, John Leeson]
  • A. John Leeson chosen
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • B. Geoffrey Haslam
    Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
  • C. Graham Stanton
    Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • D. Geoffrey Thompson
    Geoffrey Thompson is a notable member of the Thompson family, recognized for his prominence and contributions associated with the family’s legacy.
  • E. David Soward
    David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcd67f081909f97bcf38d814a13 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:17 a.m.