Triple

T582501
Position Surface form Disambiguated ID Type / Status
Subject Jahangir E15087 entity
Predicate child P120 FINISHED
Object Khurram
Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
 E73123 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: Khurram | Statement: [Jahangir, child, Khurram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khurram
Context triple: [Jahangir, child, Khurram]
  • A. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • B. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • C. 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."
  • D. Karim Ahmad Khan
    Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
  • E. M. Azhar
    M. Azhar is an individual known for the honor of lighting the torch at the 1998 Commonwealth Games.
  • 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: Khurram
Triple: [Jahangir, child, Khurram]
Generated description
Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khurram
Target entity description: Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • A. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • B. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • C. 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."
  • D. Karim Ahmad Khan
    Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
  • E. M. Azhar
    M. Azhar is an individual known for the honor of lighting the torch at the 1998 Commonwealth Games.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e25f4e4819081c8973b0f24dec0 completed March 2, 2026, 4:12 a.m.
NEDg Description generation batch_69a50ea21c54819099975c66b97f97f3 completed March 2, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_69a50f2e06288190a8ddf49310ee2790 completed March 2, 2026, 4:16 a.m.
Created at: March 1, 2026, 7:33 p.m.