Triple

T2879350
Position Surface form Disambiguated ID Type / Status
Subject Charter 77 E56956 entity
Predicate notableMember P10 FINISHED
Object Marta Kubišová
Marta Kubišová is a Czech singer and dissident renowned both for her powerful anti-communist protest songs and for her prominent role in the Czechoslovak human rights movement.
E308076 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: Marta Kubišová | Statement: [Charter 77, notableMember, Marta Kubišová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marta Kubišová
Context triple: [Charter 77, notableMember, Marta Kubišová]
  • A. Milena Králíčková
    Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
  • B. Terézia Mora
    Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
  • C. Dana Vávrová
    Dana Vávrová was a Czech-born German actress and film director known for her acclaimed performances in European cinema and collaborations with director Joseph Vilsmaier.
  • D. Eva Ondříčková
    Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
  • E. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • 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: Marta Kubišová
Triple: [Charter 77, notableMember, Marta Kubišová]
Generated description
Marta Kubišová is a Czech singer and dissident renowned both for her powerful anti-communist protest songs and for her prominent role in the Czechoslovak human rights movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marta Kubišová
Target entity description: Marta Kubišová is a Czech singer and dissident renowned both for her powerful anti-communist protest songs and for her prominent role in the Czechoslovak human rights movement.
  • A. Milena Králíčková
    Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
  • B. Terézia Mora
    Terézia Mora is a Hungarian-born German writer and translator acclaimed for her innovative prose and contributions to contemporary German-language literature.
  • C. Dana Vávrová
    Dana Vávrová was a Czech-born German actress and film director known for her acclaimed performances in European cinema and collaborations with director Joseph Vilsmaier.
  • D. Eva Ondříčková
    Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
  • E. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe027beb88190ad191dba52b57454 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0315d7cf8819093884c14562ce43f completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b03424dacc81908e587cc6b7122149 completed March 10, 2026, 3:09 p.m.
NED2 Entity disambiguation (via description) batch_69b03ab8c7308190aef7a476c82f1915 completed March 10, 2026, 3:37 p.m.
Created at: March 6, 2026, 10:03 p.m.