Triple

T4014661
Position Surface form Disambiguated ID Type / Status
Subject Alphonse Mucha E90725 entity
Predicate spouse P13 FINISHED
Object Marie Chytilová
Marie Chytilová was the wife of Czech Art Nouveau painter Alphonse Mucha and the mother of his children, who supported his artistic career and legacy.
E405649 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: Marie Chytilová | Statement: [Alphonse Mucha, spouse, Marie Chytilová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Chytilová
Context triple: [Alphonse Mucha, spouse, Marie Chytilová]
  • A. Zora Rozsypalová
    Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
  • B. Zora Jandová
    Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
  • C. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • D. 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.
  • 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: Marie Chytilová
Triple: [Alphonse Mucha, spouse, Marie Chytilová]
Generated description
Marie Chytilová was the wife of Czech Art Nouveau painter Alphonse Mucha and the mother of his children, who supported his artistic career and legacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marie Chytilová
Target entity description: Marie Chytilová was the wife of Czech Art Nouveau painter Alphonse Mucha and the mother of his children, who supported his artistic career and legacy.
  • A. Zora Rozsypalová
    Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
  • B. Zora Jandová
    Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
  • C. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • D. 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.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c73e6048190a59a8d8bc12c907d completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d197f948190b751561da497fa9e completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54da5ee8c8190ae7c2757a8d1c204 completed March 14, 2026, 11:59 a.m.
Created at: March 9, 2026, 3:35 p.m.