Triple

T2697597
Position Surface form Disambiguated ID Type / Status
Subject Madeleine Albright E58548 entity
Predicate birthName P65 FINISHED
Object Marie Jana Körbelová
Marie Jana Körbelová is the birth name of Madeleine Albright, the first female United States Secretary of State and a prominent American diplomat.
 E293498 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 Jana Körbelová | Statement: [Madeleine Albright, birthName, Marie Jana Körbelová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marie Jana Körbelová
Context triple: [Madeleine Albright, birthName, Marie Jana Körbelová]
  • 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. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • D. Zora Rozsypalová
    Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
  • E. Zora Jandová
    Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
  • 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 Jana Körbelová
Triple: [Madeleine Albright, birthName, Marie Jana Körbelová]
Generated description
Marie Jana Körbelová is the birth name of Madeleine Albright, the first female United States Secretary of State and a prominent American diplomat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marie Jana Körbelová
Target entity description: Marie Jana Körbelová is the birth name of Madeleine Albright, the first female United States Secretary of State and a prominent American diplomat.
  • 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. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • D. Zora Rozsypalová
    Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
  • E. Zora Jandová
    Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda322af48190833b8a3c006db236 completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb67e21d481908ce4ec01603767bb completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb726182081909570e4cb7a364e4d completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb78f9d08819087d6f31fe1e4e61c completed March 10, 2026, 6:17 a.m.
Created at: March 6, 2026, 9:55 p.m.