Triple

T16183138
Position Surface form Disambiguated ID Type / Status
Subject Kirron Kher E392734 entity
Predicate child P120 FINISHED
Object Sikandar Kher E549425 NE FINISHED

How this triple was built (2 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: [Kirron Kher, child, Sikandar Kher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sikandar Kher
Context triple: [Kirron Kher, child, Sikandar Kher]
  • A. Sikandar Kher chosen
    Sikandar Kher is an Indian film and television actor known for his work in Hindi cinema and web series.
  • B. Sattar Khan
    Sattar Khan was a prominent Iranian revolutionary leader and national hero who played a key role in defending and advancing the goals of the Persian Constitutional Revolution in the early 20th century.
  • C. Azad Rao Khan
    Azad Rao Khan is the son of prominent Indian actor and filmmaker Aamir Khan and his former wife Kiran Rao.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff03400481908e66db8cf0213c15 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.