Triple

T3163252
Position Surface form Disambiguated ID Type / Status
Subject Mir Bakhshi E66149 entity
Predicate alsoKnownAs P39 FINISHED
Object Mir Bakshi
Mir Bakshi was a high-ranking Mughal imperial official responsible for military administration and the management of army personnel and payments.
 E334690 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: Mir Bakshi | Statement: [Mir Bakhshi, alsoKnownAs, Mir Bakshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mir Bakshi
Context triple: [Mir Bakhshi, alsoKnownAs, Mir Bakshi]
  • A. Jitendra Malik
    Jitendra Malik is a prominent computer scientist known for his influential work in computer vision and machine learning, and for mentoring leading researchers in the field.
  • B. Tinku Jain
    Tinku Jain is known as the spouse of Ajit Jain, the prominent Berkshire Hathaway insurance executive and close associate of Warren Buffett.
  • C. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • D. Ranvir Singh
    Ranvir Singh is a British television presenter and journalist best known for her work on ITV’s Good Morning Britain and other news and current affairs programmes.
  • E. Sandeep Das
    Sandeep Das is an acclaimed Indian tabla virtuoso and composer known for his cross-cultural collaborations and performances with leading world music ensembles.
  • 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: Mir Bakshi
Triple: [Mir Bakhshi, alsoKnownAs, Mir Bakshi]
Generated description
Mir Bakshi was a high-ranking Mughal imperial official responsible for military administration and the management of army personnel and payments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mir Bakshi
Target entity description: Mir Bakshi was a high-ranking Mughal imperial official responsible for military administration and the management of army personnel and payments.
  • A. Jitendra Malik
    Jitendra Malik is a prominent computer scientist known for his influential work in computer vision and machine learning, and for mentoring leading researchers in the field.
  • B. Tinku Jain
    Tinku Jain is known as the spouse of Ajit Jain, the prominent Berkshire Hathaway insurance executive and close associate of Warren Buffett.
  • C. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • D. Ranvir Singh
    Ranvir Singh is a British television presenter and journalist best known for her work on ITV’s Good Morning Britain and other news and current affairs programmes.
  • E. Sandeep Das
    Sandeep Das is an acclaimed Indian tabla virtuoso and composer known for his cross-cultural collaborations and performances with leading world music ensembles.
  • 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_69b235d07ad88190838a845b5ade05a0 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b2399b8398819086ee836031b502de completed March 12, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69b23a19c6188190a5aa647b06b94924 completed March 12, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:06 p.m.