Triple

T13667563
Position Surface form Disambiguated ID Type / Status
Subject Citizen Khan E327660 entity
Predicate starring P1507 FINISHED
Object Krupa Pattani
Krupa Pattani is a British actress best known for her role in the BBC sitcom "Citizen Khan."
E1052686 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: Krupa Pattani | Statement: [Citizen Khan, starring, Krupa Pattani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krupa Pattani
Context triple: [Citizen Khan, starring, Krupa Pattani]
  • A. Sankhali
    Sankhali is a village located in the North Goa district of the Indian state of Goa.
  • B. Shekhani
    Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
  • C. Yaganti
    Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
  • D. Khostwal
    Khostwal is a Pashtun tribe belonging to the Karlani tribal confederation, primarily found in parts of Afghanistan and Pakistan.
  • E. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • 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: Krupa Pattani
Triple: [Citizen Khan, starring, Krupa Pattani]
Generated description
Krupa Pattani is a British actress best known for her role in the BBC sitcom "Citizen Khan."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krupa Pattani
Target entity description: Krupa Pattani is a British actress best known for her role in the BBC sitcom "Citizen Khan."
  • A. Sankhali
    Sankhali is a village located in the North Goa district of the Indian state of Goa.
  • B. Shekhani
    Shekhani is a dialect of the Kati language spoken by communities in parts of Afghanistan and Pakistan.
  • C. Yaganti
    Yaganti is a historic temple town in Andhra Pradesh, India, renowned for its ancient Sri Yagantiswamy (Shiva) temple and distinctive rock formations.
  • D. Khostwal
    Khostwal is a Pashtun tribe belonging to the Karlani tribal confederation, primarily found in parts of Afghanistan and Pakistan.
  • E. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65832688190aea688fee0a7cbdb completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0cfe0c8190b0fe50931e9788cf completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:52 p.m.