Triple
T14746007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mick Herron |
E346469
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E1117232
|
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: [Mick Herron, notableWork, Gone Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gone Tomorrow Context triple: [Mick Herron, notableWork, Gone Tomorrow]
-
A.
Yesterday to Tomorrow
"Yesterday to Tomorrow" is a song featured on Audioslave's 2005 rock album *Out of Exile*.
-
B.
Hurry Tomorrow
"Hurry Tomorrow" is a song featured on the album *Masterpiece*.
-
C.
Today Not Tomorrow
Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
-
D.
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.
-
E.
Memories of Tomorrow
Memories of Tomorrow is a Japanese drama film featuring Ken Watanabe as a successful businessman struggling with early-onset Alzheimer's disease.
- 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: [Mick Herron, notableWork, Gone Tomorrow]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gone Tomorrow Target entity description: "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.
-
A.
Yesterday to Tomorrow
"Yesterday to Tomorrow" is a song featured on Audioslave's 2005 rock album *Out of Exile*.
-
B.
Hurry Tomorrow
"Hurry Tomorrow" is a song featured on the album *Masterpiece*.
-
C.
Today Not Tomorrow
Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
-
D.
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.
-
E.
Memories of Tomorrow
Memories of Tomorrow is a Japanese drama film featuring Ken Watanabe as a successful businessman struggling with early-onset Alzheimer's disease.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9638648190a2a3eb255ec5ae28 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfe5f00b08190ba44acd2eed94333 |
completed | May 8, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff32e0a48190acc14ceccea3df17 |
completed | May 8, 2026, 3:20 p.m. |
Created at: April 10, 2026, 1:30 a.m.