Triple

T13884700
Position Surface form Disambiguated ID Type / Status
Subject Naina Yeltsina E333810 entity
Predicate givenName P17 FINISHED
Object Naina
Naina is a feminine given name commonly used in various cultures, including Russian and South Asian contexts.
 E1068656 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: Naina | Statement: [Naina Yeltsina, givenName, Naina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naina
Context triple: [Naina Yeltsina, givenName, Naina]
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Meena
    Meena is a shy teenage elephant with a powerful singing voice in the animated film "Sing."
  • C. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • D. Anuradha
    Anuradha is a 1960 Indian Hindi-language romantic drama film, acclaimed for its sensitive storytelling and music, directed by Hrishikesh Mukherjee and starring Balraj Sahni and Leela Naidu.
  • E. Revati
    Revati is a princess from Hindu mythology, known as the daughter of King Kakudmi and the wife of the deity Balarama.
  • 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: Naina
Triple: [Naina Yeltsina, givenName, Naina]
Generated description
Naina is a feminine given name commonly used in various cultures, including Russian and South Asian contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naina
Target entity description: Naina is a feminine given name commonly used in various cultures, including Russian and South Asian contexts.
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Meena
    Meena is a shy teenage elephant with a powerful singing voice in the animated film "Sing."
  • C. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • D. Anuradha
    Anuradha is a 1960 Indian Hindi-language romantic drama film, acclaimed for its sensitive storytelling and music, directed by Hrishikesh Mukherjee and starring Balraj Sahni and Leela Naidu.
  • E. Revati
    Revati is a princess from Hindu mythology, known as the daughter of King Kakudmi and the wife of the deity Balarama.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0bea4d248190bcbcea9ea875c5f9 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c716166c8190a6323f8c01de06a5 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c868bdfc8190a13379363d01568d completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c9732d188190a8a7151d21e0a310 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:15 p.m.