Triple

T15059912
Position Surface form Disambiguated ID Type / Status
Subject Revolution E379596 entity
Predicate hasCharacter P2308 FINISHED
Object Tom Neville E563206 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: Tom Neville | Statement: [Revolution, hasCharacter, Tom Neville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Neville
Context triple: [Revolution, hasCharacter, Tom Neville]
  • A. Tom Neville chosen
    Tom Neville is a calculating and ruthless former insurance adjuster turned militia officer in the post-apocalyptic TV series "Revolution," known for his complex morality and shifting loyalties.
  • B. Neville Neville
    Neville Neville was an English football agent and former cricketer, best known as the father and representative of former Manchester United and England defender Gary Neville.
  • C. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • D. Edward Akroyd
    Edward Akroyd was a 19th-century English industrialist and philanthropist known for his role in developing the textile industry and model worker communities in Yorkshire.
  • E. Colin Stinton
    Colin Stinton is a Canadian-American actor known for his character roles in film and television, often portraying authoritative or bureaucratic figures.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c2fcec8190800d1bda82c7352e completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.