Triple

T5385801
Position Surface form Disambiguated ID Type / Status
Subject Kay Kavus E120198 entity
Predicate predecessor P97 FINISHED
Object Kay Qobad E128741 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: Kay Qobad | Statement: [Kay Kavus, predecessor, Kay Qobad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kay Qobad
Context triple: [Kay Kavus, predecessor, Kay Qobad]
  • A. Khusrav
    Khusrav is a masculine given name of Persian origin, historically borne by princes and notable figures in Central and South Asia.
  • B. Khosrowshahi
    Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
  • C. Kay Khosrow chosen
    Kay Khosrow is a legendary, just, and spiritually enlightened king of Iran in Ferdowsi’s epic Shahnameh, renowned for avenging his father and then renouncing his throne to vanish mysteriously.
  • D. Yazdegerd III
    Yazdegerd III was the final shahanshah of the Sasanian Empire, whose reign marked the end of pre-Islamic imperial Iran following the Arab-Muslim conquests.
  • E. Eskandar
    Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd86f5a7388190aa4ba2052afca74e completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf295352988190a48d3f9db56fcaf8 completed March 21, 2026, 11:27 p.m.
Created at: March 20, 2026, 2:03 p.m.