Triple

T16098198
Position Surface form Disambiguated ID Type / Status
Subject Arthur Fonzarelli E390540 entity
Predicate givenName P17 FINISHED
Object Arthur
Arthur is the given name of Arthur Fonzarelli, the iconic "Fonzie" character from the American television sitcom Happy Days.
E1194218 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: Arthur | Statement: [Arthur Fonzarelli, givenName, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur
Context triple: [Arthur Fonzarelli, givenName, Arthur]
  • A. Arthur
    Arthur is a long-running animated children's television series that follows the everyday adventures and life lessons of Arthur Read, an anthropomorphic aardvark, and his friends and family.
  • B. Arthur
    Arthur is the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
  • C. Arthur
    Arthur Seyss-Inquart was an Austrian Nazi politician who briefly served as Chancellor of Austria and later as Reich Commissioner for the occupied Netherlands during World War II.
  • D. Arthur
    Arthur is the given name of Arthur Stanley, 5th Baron Stanley of Alderley, a British peer and member of the aristocratic Stanley family.
  • E. Arthur
    Arthur is the given name of Arthur J. Ornitz, an American cinematographer known for his work on several notable films in the mid-20th century.
  • 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: Arthur
Triple: [Arthur Fonzarelli, givenName, Arthur]
Generated description
Arthur is the given name of Arthur Fonzarelli, the iconic "Fonzie" character from the American television sitcom Happy Days.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur
Target entity description: Arthur is the given name of Arthur Fonzarelli, the iconic "Fonzie" character from the American television sitcom Happy Days.
  • A. Arthur
    Arthur is the given name of the renowned American playwright Arthur Miller, known for works such as "Death of a Salesman" and "The Crucible."
  • B. Arthur
    Arthur is the given first name of Art Donovan, the Hall of Fame American football defensive tackle.
  • C. Arthur
    Arthur is the given first name of American singer and actor Art Garfunkel, best known as half of the folk-rock duo Simon & Garfunkel.
  • D. Arthur
    Arthur is the given first name of Art Stevens, an American animator and film director known for his work with Walt Disney Productions.
  • E. Arthur
    Arthur is the given first name of the American comic book artist Art Adams, known for his highly detailed and dynamic illustration style.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb917b008190b1680b347cfa0892 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffecb8c71481908b4913bb078b6415 completed May 10, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 4:59 a.m.