Triple

T15610804
Position Surface form Disambiguated ID Type / Status
Subject Toghon Temür E375283 entity
Predicate child P120 FINISHED
Object Maidarbal
Maidarbal was a prince of the Yuan dynasty, known primarily as a son of the last Yuan emperor Toghon Temür.
 E1167022 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: Maidarbal | Statement: [Toghon Temür, child, Maidarbal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maidarbal
Context triple: [Toghon Temür, child, Maidarbal]
  • A. Dambal
    Dambal is a historic town in Karnataka, India, renowned for its medieval temples and architectural heritage from the Western Chalukya era.
  • B. Byari
    Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
  • C. Babadag
    Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
  • D. Baddo
    Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
  • E. Baddo
    Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
  • 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: Maidarbal
Triple: [Toghon Temür, child, Maidarbal]
Generated description
Maidarbal was a prince of the Yuan dynasty, known primarily as a son of the last Yuan emperor Toghon Temür.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maidarbal
Target entity description: Maidarbal was a prince of the Yuan dynasty, known primarily as a son of the last Yuan emperor Toghon Temür.
  • A. Dambal
    Dambal is a historic town in Karnataka, India, renowned for its medieval temples and architectural heritage from the Western Chalukya era.
  • B. Byari
    Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
  • C. Babadag
    Babadag is a small town in southeastern Romania known for its historical Ottoman influences and proximity to the Danube Delta.
  • D. Baddo
    Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
  • E. Baddo
    Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d76c108190aa3cae2d7e17c301 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.