Triple

T15797996
Position Surface form Disambiguated ID Type / Status
Subject Riot grrrl E383029 entity
Predicate associatedWith P37 FINISHED
Object Huggy Bear
Huggy Bear was a British punk band central to the early 1990s riot grrrl movement, known for its fiercely feminist, DIY ethos and confrontational sound.
 E1177001 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: Huggy Bear | Statement: [Riot grrrl, associatedWith, Huggy Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huggy Bear
Context triple: [Riot grrrl, associatedWith, Huggy Bear]
  • A. Huggy Bear
    Huggy Bear is a streetwise, well-connected informant and bar owner who serves as a key ally to the titular detectives in the television series "Starsky & Hutch."
  • B. Hazy Davy
    Hazy Davy is a wild, free-spirited character from Bruce Springsteen’s song “Spirit in the Night,” known for his reckless energy and surreal nighttime adventures.
  • C. Happy Hinds
    Happy Hinds is the child of American R&B and soul singer-songwriter Macy Gray.
  • D. Peanut Butter Wolf
    Peanut Butter Wolf is an American DJ and producer best known as the founder of the influential independent hip-hop label Stones Throw Records.
  • 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: Huggy Bear
Triple: [Riot grrrl, associatedWith, Huggy Bear]
Generated description
Huggy Bear was a British punk band central to the early 1990s riot grrrl movement, known for its fiercely feminist, DIY ethos and confrontational sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huggy Bear
Target entity description: Huggy Bear was a British punk band central to the early 1990s riot grrrl movement, known for its fiercely feminist, DIY ethos and confrontational sound.
  • A. Huggy Bear
    Huggy Bear is a streetwise, well-connected informant and bar owner who serves as a key ally to the titular detectives in the television series "Starsky & Hutch."
  • B. Hazy Davy
    Hazy Davy is a wild, free-spirited character from Bruce Springsteen’s song “Spirit in the Night,” known for his reckless energy and surreal nighttime adventures.
  • C. Happy Hinds
    Happy Hinds is the child of American R&B and soul singer-songwriter Macy Gray.
  • D. Peanut Butter Wolf
    Peanut Butter Wolf is an American DJ and producer best known as the founder of the influential independent hip-hop label Stones Throw Records.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4def80481908f72733ce9133bc6 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff936cbbc8819097958ac02673a474 completed May 9, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 4:48 a.m.