Triple

T7750938
Position Surface form Disambiguated ID Type / Status
Subject Dara Khosrowshahi E175758 entity
Predicate givenName P17 FINISHED
Object Dara E175757 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: Dara | Statement: [Dara Khosrowshahi, givenName, Dara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dara
Context triple: [Dara Khosrowshahi, givenName, Dara]
  • A. Dara chosen
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • B. Djao
    Djao is an alternative name for the Yao, an ethnic group found primarily in parts of China and Southeast Africa, known for their distinct cultural traditions and languages.
  • C. Dardanella
    Dardanella is a popular early 20th-century jazz and dance band standard, best known through Ben Selvin’s hugely successful recording.
  • D. Adara
    Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
  • E. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b264c0819095c37534a676531d completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7c89e4c81909196638c159605b8 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:08 p.m.