Triple

T8738289
Position Surface form Disambiguated ID Type / Status
Subject John Gardner (British writer) E207438 entity
Predicate notableWork P4 FINISHED
Object Cold
Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
 E755774 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: Cold | Statement: [John Gardner (British writer), notableWork, Cold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cold
Context triple: [John Gardner (British writer), notableWork, Cold]
  • A. Cold
    "Cold" is a song by GOOD Music, best known for its collaboration between Kanye West and DJ Khaled that blends braggadocious lyrics with a hard-hitting, minimalist beat.
  • B. Cold
    "Cold" is an autobiographical book by British explorer Sir Ranulph Fiennes recounting his extreme polar expeditions and experiences in some of the harshest climates on Earth.
  • C. Cold
    "Cold" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
  • D. Chill
    "Chill" is a laid-back, jazzy background music track from the puzzle video game Dr. Mario, known for its relaxed groove that contrasts with the game's fast-paced gameplay.
  • E. Ice Cold
    Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
  • 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: Cold
Triple: [John Gardner (British writer), notableWork, Cold]
Generated description
Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cold
Target entity description: Cold is a novel by British author John Gardner that blends elements of espionage and psychological suspense.
  • A. Cold
    "Cold" is a song by GOOD Music, best known for its collaboration between Kanye West and DJ Khaled that blends braggadocious lyrics with a hard-hitting, minimalist beat.
  • B. Cold
    "Cold" is an autobiographical book by British explorer Sir Ranulph Fiennes recounting his extreme polar expeditions and experiences in some of the harshest climates on Earth.
  • C. Cold
    "Cold" is a song by British singer-songwriter James Blunt, known for its emotive lyrics and melodic pop style.
  • D. Chill
    "Chill" is a laid-back, jazzy background music track from the puzzle video game Dr. Mario, known for its relaxed groove that contrasts with the game's fast-paced gameplay.
  • E. Ice Cold
    Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42c9140081909f9c10560757c860 completed April 3, 2026, 4:32 a.m.
NEDg Description generation batch_69cf43ead588819094089bea94c27207 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf453fa3e4819082466c59649c2f35 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:38 p.m.