Triple

T10221488
Position Surface form Disambiguated ID Type / Status
Subject Ernie E242590 entity
Predicate hasFictionalBearer P7927 FINISHED
Object Ernie from Sesame Street
Ernie from Sesame Street is a playful, orange Muppet character known for his rubber duckie, distinctive laugh, and close friendship with his roommate Bert.
E242590 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: Ernie from Sesame Street | Statement: [Ernie, hasFictionalBearer, Ernie from Sesame Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernie from Sesame Street
Context triple: [Ernie, hasFictionalBearer, Ernie from Sesame Street]
  • A. Ernie
    Ernie is a common diminutive form of the given name Ernest, often used as a familiar or affectionate nickname.
  • B. Big Bird
    Big Bird is a towering yellow bird Muppet from the children's television show "Sesame Street," known for his childlike curiosity and friendly, gentle personality.
  • C. Big Bird
    Big Bird is the nickname for Terminal 1 at Tokyo’s Haneda Airport, a major domestic flight hub known for its extensive shopping and dining facilities.
  • D. Elmo
    Elmo is a deep contextualized word representation model for natural language processing that captures complex characteristics of word use and syntax across different linguistic contexts.
  • E. Elmo
    Elmo is a popular red Muppet character from the children's television show "Sesame Street," known for his cheerful personality and distinctive high-pitched voice.
  • 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: Ernie from Sesame Street
Triple: [Ernie, hasFictionalBearer, Ernie from Sesame Street]
Generated description
Ernie from Sesame Street is a playful, orange Muppet character known for his rubber duckie, distinctive laugh, and close friendship with his roommate Bert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ernie from Sesame Street
Target entity description: Ernie from Sesame Street is a playful, orange Muppet character known for his rubber duckie, distinctive laugh, and close friendship with his roommate Bert.
  • A. Ernie chosen
    Ernie is a common diminutive form of the given name Ernest, often used as a familiar or affectionate nickname.
  • B. Big Bird
    Big Bird is a towering yellow bird Muppet from the children's television show "Sesame Street," known for his childlike curiosity and friendly, gentle personality.
  • C. Big Bird
    Big Bird is the nickname for Terminal 1 at Tokyo’s Haneda Airport, a major domestic flight hub known for its extensive shopping and dining facilities.
  • D. Elmo
    Elmo is a popular red Muppet character from the children's television show "Sesame Street," known for his cheerful personality and distinctive high-pitched voice.
  • E. Elmo
    Elmo is a deep contextualized word representation model for natural language processing that captures complex characteristics of word use and syntax across different linguistic contexts.
  • F. None of above.

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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa740db88190ba707226e36de0ed completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a838a0148190bc7f2aa33bb7230b completed April 8, 2026, 7:10 p.m.
NEDg Description generation batch_69d6d0003434819093e3f82a556db79c completed April 8, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69d6df3c8f748190923db41ef1a9a03a completed April 8, 2026, 11:05 p.m.
Created at: April 6, 2026, 11:09 a.m.