Triple

T18451333
Position Surface form Disambiguated ID Type / Status
Subject Rıza Tevfik E450788 entity
Predicate givenName P17 FINISHED
Object Rıza 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: Rıza | Statement: [Rıza Tevfik, givenName, Rıza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rıza
Context triple: [Rıza Tevfik, givenName, Rıza]
  • A. Rıza chosen
    Rıza is a Turkish masculine given name commonly borne by notable figures in politics, arts, and public life.
  • B. Bezmialem Sultan
    Bezmialem Sultan was a prominent 19th-century Ottoman Valide Sultan known for her influential role in imperial politics and extensive philanthropic works, including the founding of major hospitals and charitable institutions.
  • C. Süleyman Askerî Bey
    Süleyman Askerî Bey was an Ottoman military officer and leading figure in the early Special Organization (Teşkilât-ı Mahsusa), active in intelligence and irregular warfare during the late Ottoman period.
  • D. Osmangazi
    Osmangazi is a central metropolitan district of the city of Bursa in northwestern Turkey, known for its historical sites and dense urban development.
  • E. Murad
    Murad was an Indian character actor known for his authoritative screen presence in numerous Hindi films from the 1940s through the 1980s.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52648476c8190a5d8c3297d836f62 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.