Triple

T975960
Position Surface form Disambiguated ID Type / Status
Subject Dookie E21052 entity
Predicate hasPart P35 FINISHED
Object Having a Blast
"Having a Blast" is a fast-paced punk rock song by Green Day from their breakthrough 1994 album *Dookie*.
E114518 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: Having a Blast | Statement: [Dookie, hasPart, Having a Blast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Having a Blast
Context triple: [Dookie, hasPart, Having a Blast]
  • A. Blitz
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • B. Whaam!
    Whaam! is a famous 1963 pop art painting by Roy Lichtenstein that depicts a stylized fighter jet shooting down an enemy plane in a comic book-inspired format.
  • C. Las Bombas
    Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
  • D. Kaboom Town!
    Kaboom Town! is an annual Independence Day fireworks and entertainment festival held in Addison, Texas, known for one of the most spectacular pyrotechnic displays in the United States.
  • E. Strike Up the Band
    "Strike Up the Band" is a 1940 MGM musical film starring Judy Garland and Mickey Rooney, known for its lively song-and-dance numbers and classic big-band era 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: Having a Blast
Triple: [Dookie, hasPart, Having a Blast]
Generated description
"Having a Blast" is a fast-paced punk rock song by Green Day from their breakthrough 1994 album *Dookie*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Having a Blast
Target entity description: "Having a Blast" is a fast-paced punk rock song by Green Day from their breakthrough 1994 album *Dookie*.
  • A. Blitz
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • B. Whaam!
    Whaam! is a famous 1963 pop art painting by Roy Lichtenstein that depicts a stylized fighter jet shooting down an enemy plane in a comic book-inspired format.
  • C. Las Bombas
    Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
  • D. Kaboom Town!
    Kaboom Town! is an annual Independence Day fireworks and entertainment festival held in Addison, Texas, known for one of the most spectacular pyrotechnic displays in the United States.
  • E. Strike Up the Band
    "Strike Up the Band" is a 1940 MGM musical film starring Judy Garland and Mickey Rooney, known for its lively song-and-dance numbers and classic big-band era 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46234c88190b2bfc9cafe59d7f7 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170c0fdc8190b904ca5737764f5a completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac17c2e6f48190be6fce7f279957c4 completed March 7, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac1845d6948190af8994e431ef357f completed March 7, 2026, 12:21 p.m.
Created at: March 1, 2026, 7:40 p.m.