Triple

T14240255
Position Surface form Disambiguated ID Type / Status
Subject We Are Lady Parts E352984 entity
Predicate mainCharacter P1183 FINISHED
Object Ayesha
Ayesha is a central character in the British sitcom "We Are Lady Parts," known as the confident, rebellious lead guitarist of the all-female Muslim punk band.
E1088857 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: [We Are Lady Parts, mainCharacter, Ayesha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayesha
Context triple: [We Are Lady Parts, mainCharacter, Ayesha]
  • A. Ayesha
    Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
  • B. Laila
    Laila is a feminine given name used in various cultures, often associated with meanings like "night" or "dark beauty."
  • C. Shireen
    Shireen is a feminine given name of Persian origin, commonly used in various cultures across the Middle East and South Asia.
  • D. Aisha
    Aisha is a skilled and enigmatic operative who joins the elite black-ops team in the action film "The Losers" (2010).
  • E. 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.
  • 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: [We Are Lady Parts, mainCharacter, Ayesha]
Generated description
Ayesha is a central character in the British sitcom "We Are Lady Parts," known as the confident, rebellious lead guitarist of the all-female Muslim punk band.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ayesha
Target entity description: Ayesha is a central character in the British sitcom "We Are Lady Parts," known as the confident, rebellious lead guitarist of the all-female Muslim punk band.
  • A. Ayesha
    Ayesha is a central fictional heroine in Bankim Chandra Chattopadhyay’s historical Bengali novel "Durgeshnandini," known for her beauty, courage, and tragic love.
  • B. Laila
    Laila is a feminine given name used in various cultures, often associated with meanings like "night" or "dark beauty."
  • C. Shireen
    Shireen is a feminine given name of Persian origin, commonly used in various cultures across the Middle East and South Asia.
  • D. 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.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3253fc2c8190ba2da6fe6a910d85 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33acbce88190ac84ad188aa24726 completed May 8, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69fd342b64b88190b85383f6f51970ed completed May 8, 2026, 12:54 a.m.
Created at: April 10, 2026, 1:08 a.m.