Triple

T3612309
Position Surface form Disambiguated ID Type / Status
Subject Art Ross E76516 entity
Predicate givenName P17 FINISHED
Object Arthur
Arthur is the given first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
E375325 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: [Art Ross, givenName, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur
Context triple: [Art Ross, givenName, Arthur]
  • 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 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.
  • C. 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.
  • D. Arthur
    Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
  • E. Arthur
    Arthur is the given first name of American actor and musician Dooley Wilson, best known for his role as Sam in the film "Casablanca."
  • 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: [Art Ross, givenName, Arthur]
Generated description
Arthur is the given first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur
Target entity description: Arthur is the given first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
  • 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 first name of Art Rooney II, the American attorney and owner of the NFL’s Pittsburgh Steelers.
  • 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 first name of the influential British computer scientist Robin Milner, known for his work in programming language theory and process calculi.
  • E. Arthur
    Arthur is a masculine given name of Celtic origin, historically associated with legendary and royal figures, most famously King Arthur of Britain.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22e5b30819084184b730732c727 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f068e188190bb8c4e098e3153b3 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b45109fdc481909d5b05e618297694 completed March 13, 2026, 6:01 p.m.
NED2 Entity disambiguation (via description) batch_69b458f4d01c8190ac124a598f2f5f4d completed March 13, 2026, 6:35 p.m.
Created at: March 8, 2026, 3:23 p.m.