Triple

T5778845
Position Surface form Disambiguated ID Type / Status
Subject Anupam Kher E127507 entity
Predicate relative P37 FINISHED
Object Sikandar Kher
Sikandar Kher is an Indian film and television actor known for his work in Hindi cinema and web series.
 E549425 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: Sikandar Kher | Statement: [Anupam Kher, relative, Sikandar Kher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sikandar Kher
Context triple: [Anupam Kher, relative, Sikandar Kher]
  • A. Azad Rao Khan
    Azad Rao Khan is the son of prominent Indian actor and filmmaker Aamir Khan and his former wife Kiran Rao.
  • B. Himayat Ali Khan
    Himayat Ali Khan was a Hyderabadi prince of the Asaf Jahi dynasty, known as the son of the last Nizam of Hyderabad, Mir Osman Ali Khan.
  • C. Ghulam Khan
    Ghulam Khan is a key border crossing point between Afghanistan and Pakistan, serving as an important route for trade and travel in the region.
  • D. Safdar Ali Khan
    Safdar Ali Khan was an 18th-century Nawab of the Carnatic in South India, known for his role in the region’s turbulent succession struggles during the decline of the Mughal Empire.
  • E. Farid Khan
    Farid Khan, better known as Sher Shah Suri, was a 16th-century Afghan ruler of the Sur Empire in northern India, renowned for his administrative reforms and the expansion and improvement of the Grand Trunk Road.
  • 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: Sikandar Kher
Triple: [Anupam Kher, relative, Sikandar Kher]
Generated description
Sikandar Kher is an Indian film and television actor known for his work in Hindi cinema and web series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sikandar Kher
Target entity description: Sikandar Kher is an Indian film and television actor known for his work in Hindi cinema and web series.
  • A. Azad Rao Khan
    Azad Rao Khan is the son of prominent Indian actor and filmmaker Aamir Khan and his former wife Kiran Rao.
  • B. Himayat Ali Khan
    Himayat Ali Khan was a Hyderabadi prince of the Asaf Jahi dynasty, known as the son of the last Nizam of Hyderabad, Mir Osman Ali Khan.
  • C. Ghulam Khan
    Ghulam Khan is a key border crossing point between Afghanistan and Pakistan, serving as an important route for trade and travel in the region.
  • D. Safdar Ali Khan
    Safdar Ali Khan was an 18th-century Nawab of the Carnatic in South India, known for his role in the region’s turbulent succession struggles during the decline of the Mughal Empire.
  • E. Farid Khan
    Farid Khan, better known as Sher Shah Suri, was a 16th-century Afghan ruler of the Sur Empire in northern India, renowned for his administrative reforms and the expansion and improvement of the Grand Trunk Road.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e107348190a03086f1cbfae0d3 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a17276648190b1fedfcc69d46b59 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a1fc8d888190baf5547a43b87bb6 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a260a0e48190a72805ba2c925c20 completed March 23, 2026, 2:16 a.m.
Created at: March 22, 2026, 3:50 p.m.