Triple

T9058714
Position Surface form Disambiguated ID Type / Status
Subject Have a Nice Day E217067 entity
Predicate hasTrack P3284 FINISHED
Object Last Cigarette
"Last Cigarette" is a song by the American rock band Bon Jovi from their 2005 album *Have a Nice Day*.
 E774787 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: Last Cigarette | Statement: [Have a Nice Day, hasTrack, Last Cigarette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Last Cigarette
Context triple: [Have a Nice Day, hasTrack, Last Cigarette]
  • A. The Smoke
    The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
  • B. The Smoke
    The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
  • C. The Smoke
    The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • D. Smokin'
    Smokin' is the blues-rock debut album by American guitarist and singer Jonny Lang, showcasing his prodigious talent at a very young age.
  • E. Tütünler Islak
    Tütünler Islak is a renowned poetry collection by Turkish modernist poet Turgut Uyar, noted for its introspective and emotionally intense style.
  • 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: Last Cigarette
Triple: [Have a Nice Day, hasTrack, Last Cigarette]
Generated description
"Last Cigarette" is a song by the American rock band Bon Jovi from their 2005 album *Have a Nice Day*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Last Cigarette
Target entity description: "Last Cigarette" is a song by the American rock band Bon Jovi from their 2005 album *Have a Nice Day*.
  • A. The Smoke
    The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
  • B. The Smoke
    The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • C. The Smoke
    The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
  • D. Smokin'
    Smokin' is the blues-rock debut album by American guitarist and singer Jonny Lang, showcasing his prodigious talent at a very young age.
  • E. Tütünler Islak
    Tütünler Islak is a renowned poetry collection by Turkish modernist poet Turgut Uyar, noted for its introspective and emotionally intense style.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec924f481908ca2eac98c68a41d completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebe40ec08190a1da2aa1c6577723 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfee44642c8190af2dbd69a974d455 completed April 3, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfeec0d43c81909013f5a1dd49e133 completed April 3, 2026, 4:45 p.m.
Created at: March 30, 2026, 7:10 p.m.