Triple

T3217224
Position Surface form Disambiguated ID Type / Status
Subject Genghis Khan E67424 entity
Predicate father P120 FINISHED
Object Yesügei
Yesügei was a 12th-century Mongol chieftain of the Borjigin clan and the father of Genghis Khan.
E338366 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: Yesügei | Statement: [Genghis Khan, father, Yesügei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yesügei
Context triple: [Genghis Khan, father, Yesügei]
  • A. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • B. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • C. Gyes
    Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
  • D. Jahanka
    Jahanka is a Mande language spoken primarily by the Jahanka people of West Africa, particularly in Guinea and neighboring countries.
  • E. Juhu
    Juhu is a prominent coastal suburb of Mumbai, India, best known for its long sandy beach, upscale residential areas, and vibrant entertainment and tourism scene.
  • 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: Yesügei
Triple: [Genghis Khan, father, Yesügei]
Generated description
Yesügei was a 12th-century Mongol chieftain of the Borjigin clan and the father of Genghis Khan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yesügei
Target entity description: Yesügei was a 12th-century Mongol chieftain of the Borjigin clan and the father of Genghis Khan.
  • A. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • B. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • C. Gyes
    Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
  • D. Jahanka
    Jahanka is a Mande language spoken primarily by the Jahanka people of West Africa, particularly in Guinea and neighboring countries.
  • E. Juhu
    Juhu is a prominent coastal suburb of Mumbai, India, best known for its long sandy beach, upscale residential areas, and vibrant entertainment and tourism scene.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26241803c8190aa3254d5887c80f4 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2664ddd488190a3edf40fc2dcee18 completed March 12, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69b266ca4a90819083ecb16095a2984b completed March 12, 2026, 7:10 a.m.
Created at: March 8, 2026, 3:08 p.m.