Triple

T2809256
Position Surface form Disambiguated ID Type / Status
Subject Gianluigi Buffon E54126 entity
Predicate spouse P13 FINISHED
Object Alena Šeredová
Alena Šeredová is a Czech model and actress who gained widespread recognition in Italy, including for her high-profile relationship with footballer Gianluigi Buffon.
 E302465 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: Alena Šeredová | Statement: [Gianluigi Buffon, spouse, Alena Šeredová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alena Šeredová
Context triple: [Gianluigi Buffon, spouse, Alena Šeredová]
  • A. Eva Ondříčková
    Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
  • B. 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.
  • C. Hana Benešová
    Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
  • D. Markéta Vaňková
    Markéta Vaňková is a Czech politician who serves as the mayor of Brno, one of the country’s largest cities.
  • E. Milena Králíčková
    Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
  • 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: Alena Šeredová
Triple: [Gianluigi Buffon, spouse, Alena Šeredová]
Generated description
Alena Šeredová is a Czech model and actress who gained widespread recognition in Italy, including for her high-profile relationship with footballer Gianluigi Buffon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alena Šeredová
Target entity description: Alena Šeredová is a Czech model and actress who gained widespread recognition in Italy, including for her high-profile relationship with footballer Gianluigi Buffon.
  • A. Eva Ondříčková
    Eva Ondříčková is known as the wife of acclaimed Czech cinematographer Miroslav Ondříček.
  • B. 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.
  • C. Hana Benešová
    Hana Benešová was the wife of Czechoslovak statesman and second president Edvard Beneš and served as the country's First Lady during his presidencies.
  • D. Markéta Vaňková
    Markéta Vaňková is a Czech politician who serves as the mayor of Brno, one of the country’s largest cities.
  • E. Milena Králíčková
    Milena Králíčková is a Czech academic and physician who serves as the rector of Charles University in Prague.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde3165b48190a43be5e6ad23deca completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce97c3008190a966441d719d1d1c completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afd28600908190ac5defd9f7149e96 completed March 10, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_69afe2ad33308190bcef8a3188601347 completed March 10, 2026, 9:21 a.m.
Created at: March 6, 2026, 9:59 p.m.