Triple

T18793156
Position Surface form Disambiguated ID Type / Status
Subject Jan Brouwer E459566 entity
Predicate hasPartOfName P5298 FINISHED
Object Egbertus E833760 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: Egbertus | Statement: [Jan Brouwer, hasPartOfName, Egbertus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egbertus
Context triple: [Jan Brouwer, hasPartOfName, Egbertus]
  • A. Egbert
    Egbert is a small community in Wyoming, United States.
  • B. Egbert chosen
    Egbert was a 9th-century king of Wessex who significantly expanded West Saxon power and laid foundations for the later unification of England.
  • C. Egbert of Trier
    Egbert of Trier was a 10th-century Archbishop of Trier and influential patron of Ottonian art, known for commissioning important illuminated manuscripts.
  • D. Giselbert
    Giselbert is a Germanic given name of medieval origin that later evolved into the name Gilbert.
  • E. Angilbert
    Angilbert was a Frankish nobleman, poet, and churchman who served as a close advisor to Charlemagne and later became abbot of the monastery of Saint-Riquier.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59787e5988190883ed575ab4b6dec completed April 20, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05472071b88190a74e18be8699f0c6 completed May 14, 2026, 3:53 a.m.
Created at: April 10, 2026, 11:53 a.m.