Triple

T7281490
Position Surface form Disambiguated ID Type / Status
Subject Gülse Birsel E163159 entity
Predicate name P16 FINISHED
Object Gülse Birsel E163159 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: Gülse Birsel | Statement: [Gülse Birsel, name, Gülse Birsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gülse Birsel
Context triple: [Gülse Birsel, name, Gülse Birsel]
  • A. Gülse Birsel chosen
    Gülse Birsel is a prominent Turkish screenwriter, actress, columnist, and television host known for creating and starring in popular comedy series.
  • B. Oya Baydar
    Oya Baydar is a prominent Turkish novelist, sociologist, and political activist known for her socially engaged fiction and critical commentary on Turkey’s political landscape.
  • C. Münevver Andaç
    Münevver Andaç was the wife of renowned Turkish poet Nâzım Hikmet and is remembered as one of his significant romantic partners and muses.
  • D. Gülcemal Kadın
    Gülcemal Kadın was a consort of Ottoman Sultan Abdulmejid I and the mother of Sultan Mehmed V.
  • E. Hülya Koçyiğit
    Hülya Koçyiğit is a renowned Turkish film and television actress, celebrated as one of the leading stars of Yeşilçam-era cinema.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb34fe0c8190a642fd3339f0cacd completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.