Triple

T18633551
Position Surface form Disambiguated ID Type / Status
Subject Věra Davidová E455482 entity
Predicate givenName P17 FINISHED
Object Věra
Věra is a common Czech female given name, traditionally associated with the meaning "faith."
 E1334976 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: Věra | Statement: [Věra Davidová, givenName, Věra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Věra
Context triple: [Věra Davidová, givenName, Věra]
  • A. Věra Davidová
    Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
  • B. Vera Kresadlová
    Vera Kresadlová is a Czech actress known for her roles in 1960s Czechoslovak cinema and for her marriage to acclaimed film director Miloš Forman.
  • C. Žofia
    Žofia is a feminine given name, commonly used in Slovak and other Slavic languages, equivalent to the name Sophia.
  • D. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • E. Vera
    Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • 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: Věra
Triple: [Věra Davidová, givenName, Věra]
Generated description
Věra is a common Czech female given name, traditionally associated with the meaning "faith."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Věra
Target entity description: Věra is a common Czech female given name, traditionally associated with the meaning "faith."
  • A. Věra Davidová
    Věra Davidová was the daughter of Ottla Kafka, making her a niece of the writer Franz Kafka.
  • B. Vera Kresadlová
    Vera Kresadlová is a Czech actress known for her roles in 1960s Czechoslovak cinema and for her marriage to acclaimed film director Miloš Forman.
  • C. Žofia
    Žofia is a feminine given name, commonly used in Slovak and other Slavic languages, equivalent to the name Sophia.
  • D. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • E. Vera
    Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc74d208190bfda63b5b0b160cd completed April 19, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d7e812c8190ab055062a4479474 completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a050fd68c8c8190a34253dd79090280 completed May 13, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_6a05108fdea081909fd0a1ccdeaeb704 completed May 14, 2026, midnight
Created at: April 10, 2026, 11:46 a.m.