Triple

T13917590
Position Surface form Disambiguated ID Type / Status
Subject Saray Mulk Khanum E334661 entity
Predicate hasTitle P38 FINISHED
Object Great Khanum
Great Khanum is an honorific title historically used for a principal or imperial queen consort in Central Asian and Mongol royal courts.
E1070308 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: Great Khanum | Statement: [Saray Mulk Khanum, hasTitle, Great Khanum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Khanum
Context triple: [Saray Mulk Khanum, hasTitle, Great Khanum]
  • A. Dilaram Khanum
    Dilaram Khanum was a Safavid royal consort and the mother of Shah Safi I of Persia in the 17th century.
  • B. Qutluq Khatun
    Qutluq Khatun was a Mongol noblewoman of the Ilkhanate period, best known as the mother of the Ilkhanid ruler Ghazan Khan.
  • C. Börte
    Börte was the principal wife of Genghis Khan and the matriarch of the Mongol imperial lineage, from which rulers like Kublai Khan descended.
  • D. Tajlu Khanum
    Tajlu Khanum was a prominent Safavid royal consort and queen mother, best known as the influential mother of Shah Tahmasp I of Iran.
  • E. Anna Khanum
    Anna Khanum was a royal consort known primarily as the wife of Safi I, a 17th-century Safavid Shah of Persia.
  • 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: Great Khanum
Triple: [Saray Mulk Khanum, hasTitle, Great Khanum]
Generated description
Great Khanum is an honorific title historically used for a principal or imperial queen consort in Central Asian and Mongol royal courts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Great Khanum
Target entity description: Great Khanum is an honorific title historically used for a principal or imperial queen consort in Central Asian and Mongol royal courts.
  • A. Dilaram Khanum
    Dilaram Khanum was a Safavid royal consort and the mother of Shah Safi I of Persia in the 17th century.
  • B. Qutluq Khatun
    Qutluq Khatun was a Mongol noblewoman of the Ilkhanate period, best known as the mother of the Ilkhanid ruler Ghazan Khan.
  • C. Börte
    Börte was the principal wife of Genghis Khan and the matriarch of the Mongol imperial lineage, from which rulers like Kublai Khan descended.
  • D. Tajlu Khanum
    Tajlu Khanum was a prominent Safavid royal consort and queen mother, best known as the influential mother of Shah Tahmasp I of Iran.
  • E. Anna Khanum
    Anna Khanum was a royal consort known primarily as the wife of Safi I, a 17th-century Safavid Shah of Persia.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd56da288190b2bd33bc496c3fb9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb039fdb1c8190ad5286d1cfe80a29 completed May 6, 2026, 9:02 a.m.
Created at: April 9, 2026, 10:16 p.m.