Triple

T4104435
Position Surface form Disambiguated ID Type / Status
Subject Gilbert E88415 entity
Predicate hasVariant P455 FINISHED
Object Gislebert E413169 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: Gislebert | Statement: [Gilbert, hasVariant, Gislebert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gislebert
Context triple: [Gilbert, hasVariant, Gislebert]
  • A. Giselbert chosen
    Giselbert is a Germanic given name of medieval origin that later evolved into the name Gilbert.
  • B. Gisbert
    Gisbert is a masculine given name of Germanic origin, closely related to Gilbert and used primarily in German- and Spanish-speaking countries.
  • C. Alvar
    Alvar is a masculine given name most famously borne by the Finnish architect and designer Alvar Aalto.
  • D. Ansgar
    Ansgar was a 9th-century Christian missionary and archbishop known as the "Apostle of the North" for his pioneering efforts to spread Christianity in Scandinavia.
  • E. Galfridus Mann
    Galfridus Mann was a member of the prominent Mann family of 18th–19th century Britain, known primarily in historical records through his relation to reformer Horace Mann.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f1f8ca0819090fb2acb3fe03d14 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:40 p.m.