Triple

T15234313
Position Surface form Disambiguated ID Type / Status
Subject Artúr Sebestyén E364083 entity
Predicate hasGivenName P17 FINISHED
Object Artúr E325012 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: Artúr | Statement: [Artúr Sebestyén, hasGivenName, Artúr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artúr
Context triple: [Artúr Sebestyén, hasGivenName, Artúr]
  • A. Artur chosen
    Artur is a masculine given name of Celtic origin, commonly used in various European countries and often associated with the legendary King Arthur.
  • B. Arthurs
    Arthurs is a surname of likely British or Irish origin borne by various notable individuals, including artists and public figures.
  • C. Modred
    Modred is an alternative spelling of Mordred, the treacherous knight of Arthurian legend who ultimately brings about King Arthur’s downfall.
  • D. Godric
    Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
  • E. Rothair
    Rothair is an alternative name for Rothari, a 7th-century Lombard king noted for issuing one of the earliest Germanic law codes in Italy.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.