Triple

T1418107
Position Surface form Disambiguated ID Type / Status
Subject Mir Jafar E31964 entity
Predicate child P120 FINISHED
Object Miran
Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
 E162672 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: Miran | Statement: [Mir Jafar, child, Miran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miran
Context triple: [Mir Jafar, child, Miran]
  • A. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • B. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Mara
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Miran
Triple: [Mir Jafar, child, Miran]
Generated description
Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miran
Target entity description: Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
  • A. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • B. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Mara
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5857d6c8190902eecd7bb12cbaf completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace78168f481908133d74a52a7f6c9 completed March 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69aceb4ac6bc8190a3d0b44f922d5302 completed March 8, 2026, 3:21 a.m.
Created at: March 1, 2026, 7:59 p.m.