Triple

T11416073
Position Surface form Disambiguated ID Type / Status
Subject Daws Butler E270494 entity
Predicate notableWork P4 FINISHED
Object Hairbear Bunch
Hairbear Bunch is an early-1970s Hanna-Barbera animated television series about a group of mischievous zoo animals led by the charismatic Hair Bear.
 E924406 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: Hairbear Bunch | Statement: [Daws Butler, notableWork, Hairbear Bunch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hairbear Bunch
Context triple: [Daws Butler, notableWork, Hairbear Bunch]
  • A. Straw Bear
    Straw Bear is a traditional costumed figure made of straw, central to English folk customs and revived winter festivals.
  • B. Cubbie Bear
    Cubbie Bear is the costumed bear mascot of the Iowa Cubs minor league baseball team, entertaining fans at games and community events.
  • C. Sugar Bears
    Sugar Bears is the nickname for the women's athletic teams representing the University of Central Arkansas in collegiate sports.
  • D. Monkey & Bear
    "Monkey & Bear" is a song by the American indie folk musician Joanna Newsom, known for its intricate storytelling and harp-driven composition.
  • E. The Nine Bears
    The Nine Bears is a crime novel by British writer Edgar Wallace, featuring one of his characteristic fast-paced mystery plots involving high-stakes intrigue and investigation.
  • 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: Hairbear Bunch
Triple: [Daws Butler, notableWork, Hairbear Bunch]
Generated description
Hairbear Bunch is an early-1970s Hanna-Barbera animated television series about a group of mischievous zoo animals led by the charismatic Hair Bear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hairbear Bunch
Target entity description: Hairbear Bunch is an early-1970s Hanna-Barbera animated television series about a group of mischievous zoo animals led by the charismatic Hair Bear.
  • A. Straw Bear
    Straw Bear is a traditional costumed figure made of straw, central to English folk customs and revived winter festivals.
  • B. Cubbie Bear
    Cubbie Bear is the costumed bear mascot of the Iowa Cubs minor league baseball team, entertaining fans at games and community events.
  • C. Sugar Bears
    Sugar Bears is the nickname for the women's athletic teams representing the University of Central Arkansas in collegiate sports.
  • D. Monkey & Bear
    "Monkey & Bear" is a song by the American indie folk musician Joanna Newsom, known for its intricate storytelling and harp-driven composition.
  • E. The Nine Bears
    The Nine Bears is a crime novel by British writer Edgar Wallace, featuring one of his characteristic fast-paced mystery plots involving high-stakes intrigue and investigation.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b86936348190b8fa4125995c2a85 completed April 20, 2026, 5:23 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.