Triple

T6674283
Position Surface form Disambiguated ID Type / Status
Subject Klement Gottwald E151810 entity
Predicate givenName P17 FINISHED
Object Klement E111656 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: Klement | Statement: [Klement Gottwald, givenName, Klement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klement
Context triple: [Klement Gottwald, givenName, Klement]
  • A. Klemens chosen
    Klemens is a given name, primarily used in German-speaking and Central European countries, that corresponds to the Latin-derived name Clemens.
  • B. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • C. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • D. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • E. Ferdl
    Ferdl is a German diminutive form of the male given name Ferdinand, commonly used as an affectionate nickname.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f1d9d081909670f5c0b7389c0d completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a10ec08190983a66b874a1d541 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.