Triple

T15165766
Position Surface form Disambiguated ID Type / Status
Subject Cheer-Accident E362336 entity
Predicate hasAlbum P1995 FINISHED
Object Fear Draws Misfortune
Fear Draws Misfortune is a music album by the band Cheer-Accident, known for its experimental rock sound and complex, genre-blending compositions.
E1141572 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: Fear Draws Misfortune | Statement: [Cheer-Accident, hasAlbum, Fear Draws Misfortune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fear Draws Misfortune
Context triple: [Cheer-Accident, hasAlbum, Fear Draws Misfortune]
  • A. Fearing
    Fearing is a given name most notably associated with Rufus Fearing Dawes, an American Civil War officer and politician.
  • B. Fear Strikes Out
    Fear Strikes Out is a 1957 biographical sports drama film about baseball player Jimmy Piersall’s struggle with mental illness, starring Anthony Perkins.
  • C. Fear Factor
    Fear Factor is a reality television game show in which contestants compete in extreme and often fear-inducing stunts for cash prizes.
  • D. Danger
    "Danger" is a song by American singer Erykah Badu from her neo-soul album "Worldwide Underground."
  • E. Danger
    "Danger" is a popular Afrobeat song by Nigerian music duo P-Square, known for its catchy rhythm and dance-oriented 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: Fear Draws Misfortune
Triple: [Cheer-Accident, hasAlbum, Fear Draws Misfortune]
Generated description
Fear Draws Misfortune is a music album by the band Cheer-Accident, known for its experimental rock sound and complex, genre-blending compositions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fear Draws Misfortune
Target entity description: Fear Draws Misfortune is a music album by the band Cheer-Accident, known for its experimental rock sound and complex, genre-blending compositions.
  • A. Fearing
    Fearing is a given name most notably associated with Rufus Fearing Dawes, an American Civil War officer and politician.
  • B. Fear Strikes Out
    Fear Strikes Out is a 1957 biographical sports drama film about baseball player Jimmy Piersall’s struggle with mental illness, starring Anthony Perkins.
  • C. Fear Factor
    Fear Factor is a reality television game show in which contestants compete in extreme and often fear-inducing stunts for cash prizes.
  • D. Danger
    "Danger" is a song by American singer Erykah Badu from her neo-soul album "Worldwide Underground."
  • E. Danger
    "Danger" is a popular Afrobeat song by Nigerian music duo P-Square, known for its catchy rhythm and dance-oriented 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064c6244819085daf8e1eafdf3f2 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec887fbf08190b42dd25a99b7770d completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec974f39c819081dcec5c18090cf7 completed May 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69feca9d1a5c8190b0c649f83a74231b completed May 9, 2026, 5:48 a.m.
Created at: April 10, 2026, 3:08 a.m.