Triple

T13556542
Position Surface form Disambiguated ID Type / Status
Subject Piraye Altınoğlu E323788 entity
Predicate hasNameInNativeLanguage P1435 FINISHED
Object Piraye Altınoğlu E323788 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: Piraye Altınoğlu | Statement: [Piraye Altınoğlu, hasNameInNativeLanguage, Piraye Altınoğlu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piraye Altınoğlu
Context triple: [Piraye Altınoğlu, hasNameInNativeLanguage, Piraye Altınoğlu]
  • A. Piraye Altınoğlu chosen
    Piraye Altınoğlu was the long-time wife and muse of renowned Turkish poet Nâzım Hikmet, remembered for her significant emotional influence on his life and work.
  • B. Niyazi Akdaş
    Niyazi Akdaş is a Turkish football executive best known for serving as chairman of the Ankara-based club Gençlerbirliği S.K.
  • C. Metin Oktay
    Metin Oktay was a legendary Turkish footballer, best known as a prolific striker and iconic figure for Galatasaray and the Turkish national team in the 1950s and 1960s.
  • D. Tahsin Banguoğlu
    Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
  • E. Metin Feyzioğlu
    Metin Feyzioğlu is a prominent Turkish lawyer, academic, and former president of the Union of Turkish Bar Associations.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794281fb48190882f164df1def07e completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:47 p.m.