Triple

T7730295
Position Surface form Disambiguated ID Type / Status
Subject Apur Sansar E175230 entity
Predicate mainCharacter P1183 FINISHED
Object Aparna
Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
 E685560 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: Aparna | Statement: [Apur Sansar, mainCharacter, Aparna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aparna
Context triple: [Apur Sansar, mainCharacter, Aparna]
  • A. Anjali
    Anjali is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
  • B. 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.
  • C. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • D. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • E. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • 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: Aparna
Triple: [Apur Sansar, mainCharacter, Aparna]
Generated description
Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aparna
Target entity description: Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
  • A. Anjali
    Anjali is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
  • B. 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.
  • C. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • D. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • E. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3244088190be26dec90db9cfb3 completed March 29, 2026, 5:52 a.m.
NEDg Description generation batch_69c8bf141c8081908c33dab4d90943b0 completed March 29, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf8c4bdc81909c74f7b4ec524177 completed March 29, 2026, 5:58 a.m.
Created at: March 27, 2026, 4:06 p.m.