Triple

T17876428
Position Surface form Disambiguated ID Type / Status
Subject Binky Barnes E446965 entity
Predicate nickname P55 FINISHED
Object Binky
Binky is a fictional character from the children's animated series "Arthur," known as a tough-looking but kind-hearted bulldog who plays the clarinet.
 E1293380 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: Binky | Statement: [Binky Barnes, nickname, Binky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Binky
Context triple: [Binky Barnes, nickname, Binky]
  • A. Binky Mack
    Binky Mack is a hip-hop music producer best known for his work on West Coast rap projects in the 1990s.
  • B. Bunny
    Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
  • C. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • D. Bunny
    "Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
  • E. Bunny
    Bunny is an Oscar-winning animated short film by Blue Sky Studios, renowned for its emotional storytelling and pioneering use of computer-generated imagery.
  • 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: Binky
Triple: [Binky Barnes, nickname, Binky]
Generated description
Binky is a fictional character from the children's animated series "Arthur," known as a tough-looking but kind-hearted bulldog who plays the clarinet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Binky
Target entity description: Binky is a fictional character from the children's animated series "Arthur," known as a tough-looking but kind-hearted bulldog who plays the clarinet.
  • A. Binky Mack
    Binky Mack is a hip-hop music producer best known for his work on West Coast rap projects in the 1990s.
  • B. Bunny
    Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
  • C. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • D. Bunny
    "Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
  • E. Bunny
    Bunny is an Oscar-winning animated short film by Blue Sky Studios, renowned for its emotional storytelling and pioneering use of computer-generated imagery.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313d1c1e48190a17e3b81c4ee22f3 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031485c3908190a8fe49068d45e910 completed May 12, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a03151de8408190a4c8bc30f5606951 completed May 12, 2026, 11:55 a.m.
Created at: April 10, 2026, 10:18 a.m.