Triple

T14531850
Position Surface form Disambiguated ID Type / Status
Subject Minarets of Herat E340933 entity
Predicate associatedWith P37 FINISHED
Object Shah Rukh E1070791 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: Shah Rukh | Statement: [Minarets of Herat, associatedWith, Shah Rukh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shah Rukh
Context triple: [Minarets of Herat, associatedWith, Shah Rukh]
  • A. Shah Rukh chosen
    Shah Rukh was a Timurid ruler and son of Timur who governed much of Central Asia and Persia in the early 15th century, overseeing a flourishing of art, architecture, and Islamic scholarship.
  • B. Shah Rukh Khan
    Shah Rukh Khan is a hugely influential Indian film actor and producer, often called the "King of Bollywood," known for his prolific career in Hindi cinema and global cultural impact.
  • C. Salman Khan
    Salman Khan is an American educator and entrepreneur best known as the founder of the online learning platform Khan Academy.
  • D. Salman Khan
    Salman Khan is a major Indian film actor and producer, known for his blockbuster Hindi movies, larger-than-life screen persona, and significant influence on Bollywood popular culture.
  • E. Saif Ali Khan
    Saif Ali Khan is a prominent Indian film actor and producer known for his work in Hindi cinema and for being a member of the Pataudi royal family.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a56872c8190a6d2421cb81aeeb1 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.