Triple

T15225681
Position Surface form Disambiguated ID Type / Status
Subject Accelerator E363871 entity
Predicate hasTrack P3284 FINISHED
Object The Banana Question
The Banana Question is a track by the electronic music producer and DJ known as Accelerator.
E1144613 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: The Banana Question | Statement: [Accelerator, hasTrack, The Banana Question]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Banana Question
Context triple: [Accelerator, hasTrack, The Banana Question]
  • A. The Big Banana
    The Big Banana is an iconic giant banana-shaped structure and amusement park in Coffs Harbour, New South Wales, serving as one of Australia's most famous "Big Things" roadside attractions.
  • B. The Banana Box
    The Banana Box is a stage play by Eric Chappell that introduced the characters and premise later adapted into the British television sitcom Rising Damp.
  • C. Going Bananas
    "Going Bananas" is a British comedy film featuring Norman Wisdom in one of his characteristically slapstick, lighthearted roles.
  • D. Take Banana
    "Take Banana" is a popular Nigerian Afropop song by singer D'Prince, known for its catchy hook and playful, dance-oriented style.
  • E. Top Banana
    Top Banana is a 1951 Broadway musical comedy, later adapted into a film, that satirizes the television industry and starred comedian Phil Silvers in a career-defining role.
  • 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: The Banana Question
Triple: [Accelerator, hasTrack, The Banana Question]
Generated description
The Banana Question is a track by the electronic music producer and DJ known as Accelerator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Banana Question
Target entity description: The Banana Question is a track by the electronic music producer and DJ known as Accelerator.
  • A. The Big Banana
    The Big Banana is an iconic giant banana-shaped structure and amusement park in Coffs Harbour, New South Wales, serving as one of Australia's most famous "Big Things" roadside attractions.
  • B. The Banana Box
    The Banana Box is a stage play by Eric Chappell that introduced the characters and premise later adapted into the British television sitcom Rising Damp.
  • C. Going Bananas
    "Going Bananas" is a British comedy film featuring Norman Wisdom in one of his characteristically slapstick, lighthearted roles.
  • D. Take Banana
    "Take Banana" is a popular Nigerian Afropop song by singer D'Prince, known for its catchy hook and playful, dance-oriented style.
  • E. Top Banana
    Top Banana is a 1951 Broadway musical comedy, later adapted into a film, that satirizes the television industry and starred comedian Phil Silvers in a career-defining role.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078bb32881909927561c6c072546 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd35ae348190beb1b113bfc66ab3 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fede7f7a788190a8d3006055b06e62 completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedf13876c8190b7b08cd8e00a05ea completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:12 a.m.