Triple

T21108894
Position Surface form Disambiguated ID Type / Status
Subject Premchand E520124 entity
Predicate notableWork P4 FINISHED
Object Nirmala
Nirmala is a Hindi novel by Premchand that critiques the social evils of dowry and arranged marriage in early 20th-century India.
E1466743 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: Nirmala | Statement: [Premchand, notableWork, Nirmala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nirmala
Context triple: [Premchand, notableWork, Nirmala]
  • A. Shyamala
    Shyamala is an Indian-origin female given name commonly used in South Asia.
  • B. Neelima
    Neelima is a lesser-known celestial figure in Hindu mythology regarded in some traditions as a consort of the planet-deity Shani (Saturn).
  • C. Pramila
    Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
  • D. Mamta
    Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
  • E. Bhawana
    Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
  • 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: Nirmala
Triple: [Premchand, notableWork, Nirmala]
Generated description
Nirmala is a Hindi novel by Premchand that critiques the social evils of dowry and arranged marriage in early 20th-century India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nirmala
Target entity description: Nirmala is a Hindi novel by Premchand that critiques the social evils of dowry and arranged marriage in early 20th-century India.
  • A. Shyamala
    Shyamala is an Indian-origin female given name commonly used in South Asia.
  • B. Neelima
    Neelima is a lesser-known celestial figure in Hindu mythology regarded in some traditions as a consort of the planet-deity Shani (Saturn).
  • C. Pramila
    Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
  • D. Mamta
    Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
  • E. Bhawana
    Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e720ffa998819082db225363ac3b23 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a69219c8190ab5b106aa1375c6a completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095b6d25f8819097334c13ef37003e completed May 17, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a095c7c8840819087c9860a75314b83 completed May 17, 2026, 6:13 a.m.
Created at: April 16, 2026, 2:54 p.m.