Triple

T17768524
Position Surface form Disambiguated ID Type / Status
Subject Ayşe Kulin E443572 entity
Predicate name P16 FINISHED
Object Ayşe Kulin 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: Ayşe Kulin | Statement: [Ayşe Kulin, name, Ayşe Kulin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayşe Kulin
Context triple: [Ayşe Kulin, name, Ayşe Kulin]
  • A. Ayşe Kulin chosen
    Ayşe Kulin is a prominent Turkish novelist and short story writer known for her bestselling works that often explore family histories, social change, and the complexities of modern Turkish society.
  • B. Emine Arslan
    Emine Arslan is a notable individual recognized for achievements significant enough to distinguish her among people sharing the given name Emine.
  • C. Ayşe Hatun
    Ayşe Hatun was a Seljuk noblewoman known primarily as a consort of Sultan Kilij Arslan I of the Sultanate of Rum.
  • D. Filiz Ali
    Filiz Ali is a Turkish musicologist and educator, known for her work in classical music and for being the daughter of renowned writer Sabahattin Ali.
  • E. Ayşe Selçuk
    Ayşe Selçuk is a notable individual who shares the Turkish surname Selçuk, recognized among its prominent bearers.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fd8aa081909c8ee9264af15c69 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.