Triple

T7805245
Position Surface form Disambiguated ID Type / Status
Subject Imran Khan E180532 entity
Predicate familyName P18 FINISHED
Object Niazi
Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
 E694363 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: Niazi | Statement: [Imran Khan, familyName, Niazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Niazi
Context triple: [Imran Khan, familyName, Niazi]
  • A. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • B. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • C. Nzega
    Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
  • D. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • E. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • 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: Niazi
Triple: [Imran Khan, familyName, Niazi]
Generated description
Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Niazi
Target entity description: Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
  • A. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • B. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • C. Nzega
    Nzega is a town and district in western Tanzania that serves as an important commercial and transport hub within the Tabora Region.
  • D. Ndzebi
    Ndzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and neighboring regions.
  • E. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf63838b88190a085756db9ca25c4 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14439c8081908331caf450462a0e completed March 31, 2026, 12:24 a.m.
NEDg Description generation batch_69cb1638c9888190be533d55fd0b494f completed March 31, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a49beb4819090532acabb9391b1 completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:35 p.m.