Triple

T12897752
Position Surface form Disambiguated ID Type / Status
Subject Arthur Seyss-Inquart E308538 entity
Predicate givenName P17 FINISHED
Object Arthur E795491 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: [Arthur Seyss-Inquart, givenName, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur
Context triple: [Arthur Seyss-Inquart, 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 chosen
    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.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717f3fc48190b61c8f6f36cd0725 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55f98c08190b8910b1443841fa7 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.