Triple

T617921
Position Surface form Disambiguated ID Type / Status
Subject Akbar E14445 entity
Predicate courtOfficial P16689 FINISHED
Object Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
 E77691 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: Faizi | Statement: [Akbar, courtOfficial, Faizi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faizi
Context triple: [Akbar, courtOfficial, Faizi]
  • 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. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • C. Azim
    Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
  • D. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • E. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • 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: Faizi
Triple: [Akbar, courtOfficial, Faizi]
Generated description
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faizi
Target entity description: Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
  • 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. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • C. Azim
    Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
  • D. Salim
    Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
  • E. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a514b514819088e7b6b7e4675905 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c682f88190a2af1087246be4c4 completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a5647f67008190b279703c49d2b231 completed March 2, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_69a56509b9848190b88286ffb29df287 completed March 2, 2026, 10:23 a.m.
Created at: March 1, 2026, 7:35 p.m.