Triple

T12348508
Position Surface form Disambiguated ID Type / Status
Subject Oldřich E294420 entity
Predicate relatedName P3889 FINISHED
Object Oldrich E294420 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: Oldrich | Statement: [Oldřich, relatedName, Oldrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldrich
Context triple: [Oldřich, relatedName, Oldrich]
  • A. Oldřich chosen
    Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
  • B. Ondrík
    Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
  • C. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • D. Jodocus
    Jodocus is a masculine given name of Latin origin historically borne by figures such as the Flemish cartographer Jodocus Hondius.
  • E. František
    František is a masculine given name of Czech and Slovak origin, equivalent to Francis in English.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346dd09481908f4c80e89e2f4705 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.