Triple

T3162814
Position Surface form Disambiguated ID Type / Status
Subject Timur E66140 entity
Predicate child P120 FINISHED
Object Miranshah
Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
 E334794 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: Miranshah | Statement: [Timur, child, Miranshah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miranshah
Context triple: [Timur, child, Miranshah]
  • A. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • B. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • C. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • D. Mir Qasim
    Mir Qasim was the Nawab of Bengal in the mid-18th century, known for his resistance to British expansion in India and his defeat in the Battle of Buxar in 1764.
  • E. Thadiq
    Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • 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: Miranshah
Triple: [Timur, child, Miranshah]
Generated description
Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miranshah
Target entity description: Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
  • A. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • B. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • C. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • D. Mir Qasim
    Mir Qasim was the Nawab of Bengal in the mid-18th century, known for his resistance to British expansion in India and his defeat in the Battle of Buxar in 1764.
  • E. Thadiq
    Thadiq is a town in central Saudi Arabia known for its traditional architecture and location within the Riyadh administrative region.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61a4b8481908897a8d39d94c2f4 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b4e09388190b41da913f677ffb7 completed March 12, 2026, 5:12 a.m.
NEDg Description generation batch_69b24c9f4488819096b33baa4f35deaa completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d4f4b1c819094d2073c9889fecf completed March 12, 2026, 5:21 a.m.
Created at: March 8, 2026, 3:06 p.m.