Triple

T15207839
Position Surface form Disambiguated ID Type / Status
Subject Bidhya Devi Bhandari E363435 entity
Predicate givenName P17 FINISHED
Object Bidhya
Bidhya is the given name of Bidhya Devi Bhandari, the former President of Nepal and the country's first female head of state.
 E1143108 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: Bidhya | Statement: [Bidhya Devi Bhandari, givenName, Bidhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bidhya
Context triple: [Bidhya Devi Bhandari, givenName, Bidhya]
  • A. Bimala
    Bimala is the central female protagonist and introspective narrator of Rabindranath Tagore’s novel "The Home and the World," whose personal awakening unfolds amid political and emotional turmoil.
  • B. Mahāmati
    Mahāmati is a bodhisattva figure in Mahāyāna Buddhism known for his profound questions and role in eliciting the Buddha’s teachings on mind-only doctrine and enlightenment.
  • C. Kuhelika
    Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
  • D. Shyamali
    Shyamali is a residential or commercial unit located within the Uttarayan Complex development.
  • E. Binodini
    Binodini is the intelligent, complex, and emotionally conflicted young widow at the center of Rabindranath Tagore’s Bengali novel "Chokher Bali."
  • 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: Bidhya
Triple: [Bidhya Devi Bhandari, givenName, Bidhya]
Generated description
Bidhya is the given name of Bidhya Devi Bhandari, the former President of Nepal and the country's first female head of state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bidhya
Target entity description: Bidhya is the given name of Bidhya Devi Bhandari, the former President of Nepal and the country's first female head of state.
  • A. Bimala
    Bimala is the central female protagonist and introspective narrator of Rabindranath Tagore’s novel "The Home and the World," whose personal awakening unfolds amid political and emotional turmoil.
  • B. Mahāmati
    Mahāmati is a bodhisattva figure in Mahāyāna Buddhism known for his profound questions and role in eliciting the Buddha’s teachings on mind-only doctrine and enlightenment.
  • C. Kuhelika
    Kuhelika is a Bengali novel by Kazi Nazrul Islam that explores themes of social injustice, revolution, and human relationships.
  • D. Shyamali
    Shyamali is a residential or commercial unit located within the Uttarayan Complex development.
  • E. Binodini
    Binodini is the intelligent, complex, and emotionally conflicted young widow at the center of Rabindranath Tagore’s Bengali novel "Chokher Bali."
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b8e2788190bd1831762e4181ae completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33dbda08190a10ba81082d0d183 completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed47c88d08190a4396b955c9bb388 completed May 9, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69fed50956408190b1426d578803974e completed May 9, 2026, 6:32 a.m.
Created at: April 10, 2026, 3:11 a.m.