Triple

T17166027
Position Surface form Disambiguated ID Type / Status
Subject Strap It On E416610 entity
Predicate track P17929 FINISHED
Object Bad Mood
"Bad Mood" is a song featured on the album "Strap It On" by the American alternative metal band Helmet.
E1254160 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: Bad Mood | Statement: [Strap It On, track, Bad Mood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Mood
Context triple: [Strap It On, track, Bad Mood]
  • A. The Mood
    "The Mood" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
  • B. Moodswings
    Moodswings is a song by Charlotte Church from her 2005 album "Tissues and Issues," known for its pop sound and assertive lyrical theme.
  • C. Bad Is Bad
    "Bad Is Bad" is a rock song by Huey Lewis and the News, featured on their hit 1983 album "Sports."
  • D. S.A.D.
    S.A.D. is a component or segment within the work "The Art of Doing Nothing," likely representing a themed section or chapter that contributes to the book’s overall exploration of idleness and relaxation.
  • E. Bad Friend
    "Bad Friend" is a synth-pop song by Rina Sawayama that explores the emotional fallout of a broken friendship with cinematic production and confessional lyrics.
  • 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: Bad Mood
Triple: [Strap It On, track, Bad Mood]
Generated description
"Bad Mood" is a song featured on the album "Strap It On" by the American alternative metal band Helmet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bad Mood
Target entity description: "Bad Mood" is a song featured on the album "Strap It On" by the American alternative metal band Helmet.
  • A. The Mood
    "The Mood" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
  • B. Moodswings
    Moodswings is a song by Charlotte Church from her 2005 album "Tissues and Issues," known for its pop sound and assertive lyrical theme.
  • C. Bad Is Bad
    "Bad Is Bad" is a rock song by Huey Lewis and the News, featured on their hit 1983 album "Sports."
  • D. S.A.D.
    S.A.D. is a component or segment within the work "The Art of Doing Nothing," likely representing a themed section or chapter that contributes to the book’s overall exploration of idleness and relaxation.
  • E. Bad Friend
    "Bad Friend" is a synth-pop song by Rina Sawayama that explores the emotional fallout of a broken friendship with cinematic production and confessional lyrics.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f915622c8190a6dff0baf0288a62 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483b827081909619ea691c4c0e1e completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a2f8fec8190b1303967a76ceb63 completed May 11, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a014ab0be388190a6ce49cff469fe81 completed May 11, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:37 a.m.