Triple

T16844014
Position Surface form Disambiguated ID Type / Status
Subject Roy Grace E409488 entity
Predicate protagonistOf P9202 FINISHED
Object Dead Tomorrow E409479 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: Dead Tomorrow | Statement: [Roy Grace, protagonistOf, Dead Tomorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dead Tomorrow
Context triple: [Roy Grace, protagonistOf, Dead Tomorrow]
  • A. Dead Tomorrow chosen
    Dead Tomorrow is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a harrowing case involving organ trafficking.
  • B. Gone Tomorrow
    "Gone Tomorrow" is a crime thriller novel by Mick Herron, best known as an early entry in his body of work that showcases his sharp, character-driven storytelling.
  • C. Gone Tomorrow
    Gone Tomorrow is a thriller novel by Lee Child (James Dover Grant) featuring ex-military drifter Jack Reacher as he unravels a deadly conspiracy on a New York City subway.
  • D. Today Not Tomorrow
    Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
  • E. No Tomorrow
    "No Tomorrow" is a documentary film directed by Academy Award–winning filmmaker Vanessa Roth that explores the emotional and legal complexities surrounding a death penalty case.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3533a9481909730571e6f758cbe completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79e86ac8190b89c4ebb05250b4f completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:24 a.m.