Triple

T6240000
Position Surface form Disambiguated ID Type / Status
Subject Durgeshnandini E139574 entity
Predicate hasMainCharacter P1183 FINISHED
Object Ayesha
Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
 E585557 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: Ayesha | Statement: [Durgeshnandini, hasMainCharacter, Ayesha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ayesha
Context triple: [Durgeshnandini, hasMainCharacter, Ayesha]
  • A. Aisha
    Aisha is a skilled and enigmatic operative who joins the elite black-ops team in the action film "The Losers" (2010).
  • B. Aisha
    Aisha is a central female character in Naguib Mahfouz’s novel "Palace of Desire," whose relationships and personal struggles reflect the broader social and emotional tensions of early 20th-century Cairo.
  • C. Aisha
    Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
  • D. Aisha
    Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
  • E. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • 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: Ayesha
Triple: [Durgeshnandini, hasMainCharacter, Ayesha]
Generated description
Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ayesha
Target entity description: Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
  • A. Aisha
    Aisha is a skilled and enigmatic operative who joins the elite black-ops team in the action film "The Losers" (2010).
  • B. Aisha
    Aisha is a central female character in Naguib Mahfouz’s novel "Palace of Desire," whose relationships and personal struggles reflect the broader social and emotional tensions of early 20th-century Cairo.
  • C. Aisha
    Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
  • D. Aisha
    Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
  • E. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063067d9c819085a18d9d03939266 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603ea4b64819098abfe83fc5003aa completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c60506f7d0819084d5a757cdf395a1 completed March 27, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_69c605d48e848190bf11f3862a12d709 completed March 27, 2026, 4:21 a.m.
Created at: March 22, 2026, 4:23 p.m.