Triple

T531462
Position Surface form Disambiguated ID Type / Status
Subject Timurid dynasty E12231 entity
Predicate hasNotableMember P304 FINISHED
Object Shahrukh Mirza
Shahrukh Mirza was a 15th-century Timurid ruler who consolidated and governed much of Iran and Central Asia, fostering a flourishing of Persian culture, arts, and architecture.
 E66143 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: Shahrukh Mirza | Statement: [Timurid dynasty, hasNotableMember, Shahrukh Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shahrukh Mirza
Context triple: [Timurid dynasty, hasNotableMember, Shahrukh Mirza]
  • A. Salman
    Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
  • B. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • C. Kapoor
    Kapoor is a common Indian surname associated with a prominent Punjabi Khatri family, many of whose members have achieved fame in fields such as film, art, and business.
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Rajat Monga
    Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
  • 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: Shahrukh Mirza
Triple: [Timurid dynasty, hasNotableMember, Shahrukh Mirza]
Generated description
Shahrukh Mirza was a 15th-century Timurid ruler who consolidated and governed much of Iran and Central Asia, fostering a flourishing of Persian culture, arts, and architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shahrukh Mirza
Target entity description: Shahrukh Mirza was a 15th-century Timurid ruler who consolidated and governed much of Iran and Central Asia, fostering a flourishing of Persian culture, arts, and architecture.
  • A. Salman
    Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
  • B. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • C. Kapoor
    Kapoor is a common Indian surname associated with a prominent Punjabi Khatri family, many of whose members have achieved fame in fields such as film, art, and business.
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Rajat Monga
    Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a494df2c388190bf1b7672a25137af completed March 1, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5dbae7481909b0bb603c4a1ab31 completed March 1, 2026, 9:55 p.m.
NEDg Description generation batch_69a4b64487bc8190b879ddedc1585a04 completed March 1, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_69a4b6ca3398819094bfbac0ba7a9c66 completed March 1, 2026, 9:59 p.m.
Created at: March 1, 2026, 7:32 p.m.