Triple

T1921865
Position Surface form Disambiguated ID Type / Status
Subject Bon Jovi E40140 entity
Predicate album P1995 FINISHED
Object Bounce
"Bounce" is a 2002 hard rock album by Bon Jovi that reflects themes of resilience and renewal, influenced in part by the aftermath of the September 11 attacks.
E217066 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: Bounce | Statement: [Bon Jovi, album, Bounce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bounce
Context triple: [Bon Jovi, album, Bounce]
  • A. Bounce Back
    "Bounce Back" is a 2016 hit single by American rapper Big Sean known for its motivational theme about recovering from setbacks and its strong commercial success.
  • B. Ba Bump
    "Ba Bump" is a song by the American hip hop group The Black Eyed Peas from their 2005 album "Monkey Business."
  • C. Bouncing Off the Wall
    "Bouncing Off the Wall" is a song by the American punk rock band Green Day from their album "Revolution Radio."
  • D. Bubbles
    Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
  • E. Bubbles
    Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
  • 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: Bounce
Triple: [Bon Jovi, album, Bounce]
Generated description
"Bounce" is a 2002 hard rock album by Bon Jovi that reflects themes of resilience and renewal, influenced in part by the aftermath of the September 11 attacks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bounce
Target entity description: "Bounce" is a 2002 hard rock album by Bon Jovi that reflects themes of resilience and renewal, influenced in part by the aftermath of the September 11 attacks.
  • A. Bounce Back
    "Bounce Back" is a 2016 hit single by American rapper Big Sean known for its motivational theme about recovering from setbacks and its strong commercial success.
  • B. Ba Bump
    "Ba Bump" is a song by the American hip hop group The Black Eyed Peas from their 2005 album "Monkey Business."
  • C. Bouncing Off the Wall
    "Bouncing Off the Wall" is a song by the American punk rock band Green Day from their album "Revolution Radio."
  • D. Bubbles
    Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
  • E. Bubbles
    Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb233011881908736523d36f01b0c completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e458e8819098ea1c2d5598f890 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf4cd91008190ada815601d9f76b4 completed March 8, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69adf5681ea88190979237322fd2785b completed March 8, 2026, 10:17 p.m.
Created at: March 4, 2026, 7:35 p.m.