Triple

T22858992
Position Surface form Disambiguated ID Type / Status
Subject Vyjayanthimala E566858 entity
Predicate notableWork P4 FINISHED
Object Amrapali
Amrapali is a 1966 Indian historical drama film starring Vyjayanthimala as the legendary courtesan of ancient Vaishali.
 E1558175 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: Amrapali | Statement: [Vyjayanthimala, notableWork, Amrapali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amrapali
Context triple: [Vyjayanthimala, notableWork, Amrapali]
  • A. Vidyavati
    Vidyavati is an Indian woman whose given name is associated with the full name Vidyavati Kaur.
  • B. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • C. Devasena
    Devasena is a Hindu goddess known as one of the wives of the war god Kartikeya, often associated with valor and divine grace.
  • D. Devasena
    Devasena is a fierce and principled warrior princess from the Indian epic film series "Baahubali," known for her bravery, archery skills, and unwavering sense of justice.
  • E. Mangalambika
    Mangalambika is a Hindu goddess revered as the consort of Lord Shiva at the Adi Kumbeswarar Temple in Kumbakonam, Tamil Nadu.
  • 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: Amrapali
Triple: [Vyjayanthimala, notableWork, Amrapali]
Generated description
Amrapali is a 1966 Indian historical drama film starring Vyjayanthimala as the legendary courtesan of ancient Vaishali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amrapali
Target entity description: Amrapali is a 1966 Indian historical drama film starring Vyjayanthimala as the legendary courtesan of ancient Vaishali.
  • A. Vidyavati
    Vidyavati is an Indian woman whose given name is associated with the full name Vidyavati Kaur.
  • B. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • C. Devasena
    Devasena is a Hindu goddess known as one of the wives of the war god Kartikeya, often associated with valor and divine grace.
  • D. Devasena
    Devasena is a fierce and principled warrior princess from the Indian epic film series "Baahubali," known for her bravery, archery skills, and unwavering sense of justice.
  • E. Mangalambika
    Mangalambika is a Hindu goddess revered as the consort of Lord Shiva at the Adi Kumbeswarar Temple in Kumbakonam, Tamil Nadu.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebf1838819092b2b99205a2192f completed April 29, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae8ba1dc8190a2af113d88c210d0 completed May 19, 2026, 12:27 a.m.
NEDg Description generation batch_6a0baf39c42c8190a6401ab150b80039 completed May 19, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0bafce9cf48190a826f713e095e3be completed May 19, 2026, 12:33 a.m.
Created at: April 17, 2026, 3:37 p.m.