Triple

T11773996
Position Surface form Disambiguated ID Type / Status
Subject Bear in the Big Blue House E279969 entity
Predicate featuresCharacter P626 FINISHED
Object Tutter
Tutter is a small, blue mouse character from the children's television series "Bear in the Big Blue House," known for his high-pitched voice, nervous energy, and love of cheese.
 E945892 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: Tutter | Statement: [Bear in the Big Blue House, featuresCharacter, Tutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tutter
Context triple: [Bear in the Big Blue House, featuresCharacter, Tutter]
  • A. Tukkies
    Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
  • B. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • C. TUTU
    TUTU is a song featured on the album "TattleTales" by rapper 6ix9ine.
  • D. Snitter
    Snitter is a small rural village in Northumberland, England, known for its scenic setting within the Coquet Valley near the Northumberland National Park.
  • E. Trockel
    Trockel is the surname of Rosemarie Trockel, a prominent German conceptual artist known for her innovative textile and multimedia works.
  • 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: Tutter
Triple: [Bear in the Big Blue House, featuresCharacter, Tutter]
Generated description
Tutter is a small, blue mouse character from the children's television series "Bear in the Big Blue House," known for his high-pitched voice, nervous energy, and love of cheese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tutter
Target entity description: Tutter is a small, blue mouse character from the children's television series "Bear in the Big Blue House," known for his high-pitched voice, nervous energy, and love of cheese.
  • A. Tukkies
    Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
  • B. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • C. TUTU
    TUTU is a song featured on the album "TattleTales" by rapper 6ix9ine.
  • D. Snitter
    Snitter is a small rural village in Northumberland, England, known for its scenic setting within the Coquet Valley near the Northumberland National Park.
  • E. Trockel
    Trockel is the surname of Rosemarie Trockel, a prominent German conceptual artist known for her innovative textile and multimedia works.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0909969e481908d836f912b5af5bf completed April 28, 2026, 10:48 a.m.
NEDg Description generation batch_69f0bd3e585481908223acfd780a72a2 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef31076c8190b33a6a2778d7ffbb completed April 28, 2026, 5:32 p.m.
Created at: April 8, 2026, 9:41 p.m.