Triple

T2426562
Position Surface form Disambiguated ID Type / Status
Subject Leonard E53541 entity
Predicate hasVariant P455 FINISHED
Object Leonardus E53541 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: Leonardus | Statement: [Leonard, hasVariant, Leonardus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardus
Context triple: [Leonard, hasVariant, Leonardus]
  • A. Laurentius
    Laurentius is a Latin given name historically borne by several early Christian saints and later adapted into various European forms such as Laurence and Lawrence.
  • B. Albertus
    Albertus is a masculine given name of Latin origin, commonly used in Dutch and German-speaking regions.
  • C. Leonhard
    Leonhard is a masculine given name most famously borne by the prolific 18th-century Swiss mathematician and physicist Leonhard Euler.
  • D. Leonard chosen
    Leonard is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by numerous notable figures in arts, sports, and public life.
  • E. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.