Triple

T14240262
Position Surface form Disambiguated ID Type / Status
Subject We Are Lady Parts E352984 entity
Predicate starring P1507 FINISHED
Object Aiysha Hart
Aiysha Hart is a British-Saudi actress known for her roles in television series such as "We Are Lady Parts," "Atlantis," and "Line of Duty."
 E1093624 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: Aiysha Hart | Statement: [We Are Lady Parts, starring, Aiysha Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aiysha Hart
Context triple: [We Are Lady Parts, starring, Aiysha Hart]
  • A. Aisha Conneh
    Aisha Conneh is a Liberian political figure known for her leadership role in the Mandingo ethnic community and her influence during and after Liberia’s civil conflicts.
  • B. Ariana Richards
    Ariana Richards is an American actress and painter best known for playing Lex Murphy in the film "Jurassic Park."
  • C. Alisha Bailey
    Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
  • D. Ava Morris
    Ava Morris was the birth name of British actress Lana Morris, known for her film and television work in the mid-20th century.
  • E. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • 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: Aiysha Hart
Triple: [We Are Lady Parts, starring, Aiysha Hart]
Generated description
Aiysha Hart is a British-Saudi actress known for her roles in television series such as "We Are Lady Parts," "Atlantis," and "Line of Duty."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aiysha Hart
Target entity description: Aiysha Hart is a British-Saudi actress known for her roles in television series such as "We Are Lady Parts," "Atlantis," and "Line of Duty."
  • A. Aisha Conneh
    Aisha Conneh is a Liberian political figure known for her leadership role in the Mandingo ethnic community and her influence during and after Liberia’s civil conflicts.
  • B. Ariana Richards
    Ariana Richards is an American actress and painter best known for playing Lex Murphy in the film "Jurassic Park."
  • C. Alisha Bailey
    Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
  • D. Ava Morris
    Ava Morris was the birth name of British actress Lana Morris, known for her film and television work in the mid-20th century.
  • E. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • 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_69fd46794e9c819093312a2c304e554e completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd4821304c8190acc84c72d9295b11 completed May 8, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69fd48d827488190b4a494d4da64ba51 completed May 8, 2026, 2:22 a.m.
Created at: April 10, 2026, 1:08 a.m.