Triple

T16524976
Position Surface form Disambiguated ID Type / Status
Subject James Dover Grant E401410 entity
Predicate notableWork P4 FINISHED
Object 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.
E1218883 NE FINISHED

How this triple was built (4 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: Gone Tomorrow | Statement: [James Dover Grant, notableWork, Gone Tomorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gone Tomorrow
Context triple: [James Dover Grant, notableWork, Gone Tomorrow]
  • A. 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.
  • B. Yesterday to Tomorrow
    "Yesterday to Tomorrow" is a song featured on Audioslave's 2005 rock album *Out of Exile*.
  • C. Hurry Tomorrow
    "Hurry Tomorrow" is a song featured on the album *Masterpiece*.
  • D. Today Not Tomorrow
    Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
  • E. Til Tomorrow
    "Til Tomorrow" is an R&B song best known as a track from Marvin Gaye’s early-1990s era, showcasing his smooth vocals and romantic, late-night mood.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gone Tomorrow
Triple: [James Dover Grant, notableWork, Gone Tomorrow]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gone Tomorrow
Target entity description: 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.
  • A. 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.
  • B. Yesterday to Tomorrow
    "Yesterday to Tomorrow" is a song featured on Audioslave's 2005 rock album *Out of Exile*.
  • C. Hurry Tomorrow
    "Hurry Tomorrow" is a song featured on the album *Masterpiece*.
  • D. Today Not Tomorrow
    Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
  • E. Til Tomorrow
    "Til Tomorrow" is an R&B song best known as a track from Marvin Gaye’s early-1990s era, showcasing his smooth vocals and romantic, late-night mood.
  • F. None of above. chosen

Provenance (5 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed323c081908218460aa4ae3cf6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608b7f6081909912dd575979f8d7 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0062b6637c81908a619e36af7d6989 completed May 10, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00639024d08190a46256691e89953a completed May 10, 2026, 10:53 a.m.
Created at: April 10, 2026, 5:14 a.m.