Triple

T8624436
Position Surface form Disambiguated ID Type / Status
Subject Kira Muratova E204248 entity
Predicate familyName P18 FINISHED
Object Muratova
Muratova is a Slavic surname most notably associated with the acclaimed Ukrainian film director Kira Muratova.
 E747462 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: Muratova | Statement: [Kira Muratova, familyName, Muratova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muratova
Context triple: [Kira Muratova, familyName, Muratova]
  • A. Zhdanova
    Zhdanova is a Russian-language surname commonly borne by women and associated with several notable figures in Russian and post-Soviet public life.
  • B. Ludmila
    Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
  • C. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Larisa Tarkovskaya
    Larisa Tarkovskaya was the wife of renowned Russian filmmaker Andrei Tarkovsky and a significant presence in his personal and creative life.
  • E. Elena Milashina
    Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
  • 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: Muratova
Triple: [Kira Muratova, familyName, Muratova]
Generated description
Muratova is a Slavic surname most notably associated with the acclaimed Ukrainian film director Kira Muratova.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muratova
Target entity description: Muratova is a Slavic surname most notably associated with the acclaimed Ukrainian film director Kira Muratova.
  • A. Zhdanova
    Zhdanova is a Russian-language surname commonly borne by women and associated with several notable figures in Russian and post-Soviet public life.
  • B. Ludmila
    Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
  • C. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Larisa Tarkovskaya
    Larisa Tarkovskaya was the wife of renowned Russian filmmaker Andrei Tarkovsky and a significant presence in his personal and creative life.
  • E. Elena Milashina
    Elena Milashina is a prominent Russian investigative journalist known for her reporting on human rights abuses, particularly in Chechnya, for the independent newspaper Novaya Gazeta.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4728360c8190b5e600596cbced0c completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbe6a7e48190a166a31dccd8ac16 completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebe299de881909dcbb37b2b718201 completed April 2, 2026, 7:06 p.m.
NED2 Entity disambiguation (via description) batch_69cebedb7f0c8190be98ffec07ce6fbc completed April 2, 2026, 7:09 p.m.
Created at: March 30, 2026, 6:26 p.m.