Triple

T19319796
Position Surface form Disambiguated ID Type / Status
Subject Zdeněk P. Bažant E483189 entity
Predicate hasFamilyName P18 FINISHED
Object Bažant NE NERFINISHED

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: Bažant | Statement: [Zdeněk P. Bažant, hasFamilyName, Bažant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bažant
Context triple: [Zdeněk P. Bažant, hasFamilyName, Bažant]
  • A. Bažant chosen
    Bažant is a Czech surname most notably associated with Zdeněk P. Bažant, a prominent engineer and scientist known for his work in structural mechanics and materials science.
  • B. Seba
    Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
  • C. Belopoeica
    Belopoeica is an ancient Greek treatise by Philo of Byzantium that systematically examines the design and construction of war machines and artillery.
  • D. Cacicus
    Cacicus is a genus of New World tropical birds known as caciques, recognized for their vibrant plumage and colonial nesting habits.
  • E. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d87a0088190a60201b1f388089e completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.