Triple

T4966524
Position Surface form Disambiguated ID Type / Status
Subject Zdeněk P. Bažant E111539 entity
Predicate familyName P18 FINISHED
Object Bažant
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.
 E483189 NE FINISHED

How this triple was built (4 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, familyName, Bažant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bažant
Context triple: [Zdeněk P. Bažant, familyName, Bažant]
  • A. Seba
    Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
  • B. 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.
  • C. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • D. Burradon
    Burradon is a village in Tyne and Wear, England, historically associated with coal mining and situated near Killingworth.
  • E. Bantoid
    Bantoid is a major branch of the Niger-Congo language family that includes the Bantu languages and several closely related non-Bantu groups spoken primarily in Central and West Africa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bažant
Triple: [Zdeněk P. Bažant, familyName, Bažant]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bažant
Target entity description: 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.
  • A. Seba
    Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
  • B. 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.
  • C. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • D. Burradon
    Burradon is a village in Tyne and Wear, England, historically associated with coal mining and situated near Killingworth.
  • E. Bantoid
    Bantoid is a major branch of the Niger-Congo language family that includes the Bantu languages and several closely related non-Bantu groups spoken primarily in Central and West Africa.
  • F. None of above. chosen

Provenance (5 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f7ae388190b752770bf577906f completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f13988819097dcd5a65cb1f502 completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be83b10e048190889289ac2ca9f07f completed March 21, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69be843e2e50819099b2b73498c7c16e completed March 21, 2026, 11:42 a.m.
Created at: March 20, 2026, 1:32 p.m.