Triple

T3102528
Position Surface form Disambiguated ID Type / Status
Subject Art Rooney E64752 entity
Predicate givenName P17 FINISHED
Object Arthur E44946 NE FINISHED

How this triple was built (2 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 Rooney, givenName, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur
Context triple: [Art Rooney, givenName, Arthur]
  • A. Arthur chosen
    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 common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
  • D. Arthur
    "Arthur" is a 1981 romantic comedy film starring Dudley Moore and Liza Minnelli, centered on a spoiled millionaire who must choose between an arranged marriage and true love.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26df128819086541db7680c8c24 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c4e59c819084a3aa19824c1621 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:03 p.m.