Triple

T5489248
Position Surface form Disambiguated ID Type / Status
Subject Waris Shah E123659 entity
Predicate familyName P18 FINISHED
Object Shah E365310 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 | Statement: [Waris Shah, familyName, Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shah
Context triple: [Waris Shah, familyName, Shah]
  • A. Shah chosen
    Shah is a royal title historically used for monarchs and rulers in Persia (Iran) and other regions of the Islamic world.
  • B. Rahbar
    Rahbar is the title commonly used for the Supreme Leader of Iran, the country's highest political and religious authority.
  • C. Shahzada
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • D. Khosrowshahi
    Khosrowshahi is a Persian surname most prominently associated with Dara Khosrowshahi, the Iranian-American business executive and CEO of Uber.
  • E. Shahrokh Shah
    Shahrokh Shah was an 18th-century Persian monarch who ruled parts of Iran as a successor in the Afsharid dynasty following Nader Shah's death.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd927c946c8190aef40679199fede3 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48ac6e7881908806f88056409b41 completed March 22, 2026, 1:41 a.m.
Created at: March 20, 2026, 2:10 p.m.