Triple

T8737130
Position Surface form Disambiguated ID Type / Status
Subject Hacı I Giray E207413 entity
Predicate title P38 FINISHED
Object Khan
A Khan is a historical Central Asian and Turkic title denoting a sovereign ruler or high-ranking noble, often associated with steppe empires and khanates.
 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: [Hacı I Giray, title, Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khan
Context triple: [Hacı I Giray, title, Khan]
  • A. 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.
  • B. Moin Khan
    Moin Khan is a former Pakistani wicketkeeper-batsman and World Cup–winning cricketer who later became a prominent coach and selector for Pakistan cricket.
  • C. Hakeem
    Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
  • D. Kaan
    Kaan was a powerful Maya royal dynasty associated with the ancient city-state of Calakmul, known for its political and military rivalry with Tikal during the Classic period.
  • E. Bobby Khan
    Bobby Khan is an Indian film director and choreographer known for his work in Bollywood music videos and films.
  • 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: [Hacı I Giray, title, Khan]
Generated description
A Khan is a historical Central Asian and Turkic title denoting a sovereign ruler or high-ranking noble, often associated with steppe empires and khanates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khan
Target entity description: A Khan is a historical Central Asian and Turkic title denoting a sovereign ruler or high-ranking noble, often associated with steppe empires and khanates.
  • A. Khan chosen
    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.
  • B. Moin Khan
    Moin Khan is a former Pakistani wicketkeeper-batsman and World Cup–winning cricketer who later became a prominent coach and selector for Pakistan cricket.
  • C. Hakeem
    Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
  • D. Kaan
    Kaan was a powerful Maya royal dynasty associated with the ancient city-state of Calakmul, known for its political and military rivalry with Tikal during the Classic period.
  • E. Bobby Khan
    Bobby Khan is an Indian film director and choreographer known for his work in Bollywood music videos and films.
  • F. None of above.

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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d45c96081909aa8509064ff3a04 completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42c9140081909f9c10560757c860 completed April 3, 2026, 4:32 a.m.
NEDg Description generation batch_69cf43ead588819094089bea94c27207 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf453fa3e4819082466c59649c2f35 completed April 3, 2026, 4:42 a.m.
Created at: March 30, 2026, 6:38 p.m.