Triple

T8215461
Position Surface form Disambiguated ID Type / Status
Subject Malcolm McLaren E191919 entity
Predicate managed P3234 FINISHED
Object Bow Wow Wow
Bow Wow Wow is a British new wave band formed in 1980, known for its Burundi beat–influenced sound and the hit single "I Want Candy."
 E718932 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: Bow Wow Wow | Statement: [Malcolm McLaren, managed, Bow Wow Wow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bow Wow Wow
Context triple: [Malcolm McLaren, managed, Bow Wow Wow]
  • A. Bow Chicka Wow Wow
    "Bow Chicka Wow Wow" is a pop-R&B single by American singer Mike Posner, known for its flirtatious lyrics and smooth, radio-friendly production.
  • B. Bow Wow
    Bow Wow is an American rapper and actor who rose to fame as a child star in the early 2000s with hit singles and roles in films like "Like Mike."
  • C. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • D. Kokovoko
    Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • E. Doozer
    Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • 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: Bow Wow Wow
Triple: [Malcolm McLaren, managed, Bow Wow Wow]
Generated description
Bow Wow Wow is a British new wave band formed in 1980, known for its Burundi beat–influenced sound and the hit single "I Want Candy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bow Wow Wow
Target entity description: Bow Wow Wow is a British new wave band formed in 1980, known for its Burundi beat–influenced sound and the hit single "I Want Candy."
  • A. Bow Chicka Wow Wow
    "Bow Chicka Wow Wow" is a pop-R&B single by American singer Mike Posner, known for its flirtatious lyrics and smooth, radio-friendly production.
  • B. Bow Wow
    Bow Wow is an American rapper and actor who rose to fame as a child star in the early 2000s with hit singles and roles in films like "Like Mike."
  • C. Woopi
    Woopi is the colloquial nickname for Woolgoolga, a coastal town in New South Wales, Australia known for its beaches and large Sikh community.
  • D. Kokovoko
    Kokovoko is the fictional, remote South Pacific island homeland of Queequeg in Herman Melville’s novel "Moby-Dick."
  • E. Doozer
    Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776dcfa08190969863b886336c91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedf320c08190ada5ae5c47d059eb completed April 1, 2026, 10:05 a.m.
NEDg Description generation batch_69ccf1bbbd2481908400436e05911326 completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05d668ac819098195ba5ec26ec76 completed April 1, 2026, 11:47 a.m.
Created at: March 30, 2026, 5:44 p.m.