Triple

T3040766
Position Surface form Disambiguated ID Type / Status
Subject Murad Mirza E83120 entity
Predicate nobleTitle P914 FINISHED
Object Shahzada
Shahzada is a royal title traditionally used in South Asian and Persian cultures to denote a prince or son of a monarch.
 E68477 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: Shahzada | Statement: [Murad Mirza, nobleTitle, Shahzada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shahzada
Context triple: [Murad Mirza, nobleTitle, Shahzada]
  • A. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • B. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • C. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • D. Al-Malik
    Al-Malik is one of the names of Allah in Islam, signifying Him as the absolute Sovereign and King over all creation.
  • E. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • 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: Shahzada
Triple: [Murad Mirza, nobleTitle, Shahzada]
Generated description
Shahzada is a royal title traditionally used in South Asian and Persian cultures to denote a prince or son of a monarch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shahzada
Target entity description: Shahzada is a royal title traditionally used in South Asian and Persian cultures to denote a prince or son of a monarch.
  • A. Mirza chosen
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • B. Sultan
    The Sultan was the supreme monarch of the Ottoman Empire, wielding ultimate political, military, and religious authority over its vast territories.
  • C. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • D. Al-Malik
    Al-Malik is one of the names of Allah in Islam, signifying Him as the absolute Sovereign and King over all creation.
  • E. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • F. None of above.

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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b59fea8819091796e30812df9c5 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eef191ec8190a28c8beec31fffd1 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1f05966a881909aa7cce13534dea4 completed March 11, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_69b1f476ccb081909a5d7164980040a9 completed March 11, 2026, 11:02 p.m.
Created at: March 8, 2026, 3:01 p.m.