Triple

T517681
Position Surface form Disambiguated ID Type / Status
Subject Irene Khan E10743 entity
Predicate familyName P18 FINISHED
Object Khan
Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
 E64995 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: Khan | Statement: [Irene Khan, familyName, Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khan
Context triple: [Irene Khan, familyName, Khan]
  • A. Malik
    Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Salman
    Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
  • D. Khaldoon
    Khaldoon is an Arabic masculine given name commonly used in the Middle East.
  • E. Ali
    "Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
  • 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: Khan
Triple: [Irene Khan, familyName, Khan]
Generated description
Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khan
Target entity description: Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
  • A. Malik
    Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Salman
    Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
  • D. Khaldoon
    Khaldoon is an Arabic masculine given name commonly used in the Middle East.
  • E. Ali
    "Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19d81d48190bd65a02059fc8473 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a6fd69148190abfd945bc5434cf2 completed March 1, 2026, 8:52 p.m.
NEDg Description generation batch_69a4a884de0c8190b2243403f6bc870b completed March 1, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69a4a925f60c8190aa5b13380a712974 completed March 1, 2026, 9:01 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.