Triple

T9459316
Position Surface form Disambiguated ID Type / Status
Subject Arthur J. Ornitz E228100 entity
Predicate givenName P17 FINISHED
Object 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.
E801386 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 J. Ornitz, givenName, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur
Context triple: [Arthur J. Ornitz, 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 a central character, likely a leader or protagonist, around whom allies such as Goosefat Bill rally in a shared cause or conflict.
  • C. Arthur
    Arthur is the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
  • D. Arthur
    Arthur is the given first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
  • E. Arthur
    Arthur is a given name notably borne by Charles Philip Arthur George, better known as King Charles III of the United Kingdom.
  • 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 J. Ornitz, givenName, Arthur]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur
Target entity description: 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.
  • A. Arthur
    Arthur is the given first name of the acclaimed Canadian actor Christopher Plummer, known for his distinguished career in film, television, and theatre.
  • B. Arthur
    Arthur is the given name of Arthur Coningham, a notable British Royal Air Force commander during the World Wars.
  • C. 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."
  • D. Arthur
    Arthur is the given name of Arthur Chevrolet, a Swiss-American race car driver and early automotive pioneer.
  • E. Arthur
    Arthur is the given name of Arthur Dove, an early American modernist painter known for his abstract works inspired by nature.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1228d7a488190b537db256f386786 completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:52 p.m.