Triple

T21943851
Position Surface form Disambiguated ID Type / Status
Subject Sahabzade Irfan Ali Khan E541886 entity
Predicate notableWork P4 FINISHED
Object Rog NE NERFINISHED

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: Rog | Statement: [Sahabzade Irfan Ali Khan, notableWork, Rog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rog
Context triple: [Sahabzade Irfan Ali Khan, notableWork, Rog]
  • A. Rog chosen
    Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
  • B. Rogasen
    Rogasen is a locality historically associated with the birthplace of the renowned Talmudic scholar and lexicographer Marcus Jastrow.
  • C. Rogat
    Rogat is a small village in the Dutch province of Drenthe, known for its rural character and location within the municipality of De Wolden.
  • D. Roh
    Roh is the ancestral figure or eponym from whom the Rohilla people derive their name and historical identity.
  • E. Rogalin
    Rogalin is a historic village in west-central Poland renowned for its aristocratic palace complex and ancient oak trees.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.