Triple

T5700152
Position Surface form Disambiguated ID Type / Status
Subject Lyubov Orlova E125638 entity
Predicate givenName P17 FINISHED
Object Lyubov
Lyubov is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "love."
 E540826 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: Lyubov | Statement: [Lyubov Orlova, givenName, Lyubov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyubov
Context triple: [Lyubov Orlova, givenName, Lyubov]
  • A. 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.
  • B. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • C. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • D. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • E. Grushenka
    Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
  • 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: Lyubov
Triple: [Lyubov Orlova, givenName, Lyubov]
Generated description
Lyubov is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "love."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyubov
Target entity description: Lyubov is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "love."
  • A. 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.
  • B. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • C. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • D. Kirillovna
    Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
  • E. Grushenka
    Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0241030408190be774a5d2ca6e999 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5fe4fc8190944a63a29da0fe3c completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05c1d98b4819080ae9163a0cfd659 completed March 22, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69c05caea8b881908a4d12aec44f422e completed March 22, 2026, 9:18 p.m.
Created at: March 22, 2026, 3:45 p.m.