Triple

T4161066
Position Surface form Disambiguated ID Type / Status
Subject Georg Büchner Prize E91534 entity
Predicate hasAwarded P2391 FINISHED
Object Emine Sevgi Özdamar E52679 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: Emine Sevgi Özdamar | Statement: [Georg Büchner Prize, hasAwarded, Emine Sevgi Özdamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emine Sevgi Özdamar
Context triple: [Georg Büchner Prize, hasAwarded, Emine Sevgi Özdamar]
  • A. Emine Sevgi Özdamar chosen
    Emine Sevgi Özdamar is a Turkish-German writer, actress, and director renowned for her innovative German-language prose exploring migration, identity, and intercultural experience.
  • B. Nesrin Cansever
    Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
  • C. Zehra Zümrüt
    Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
  • D. 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.
  • E. Melih Gökçek
    Melih Gökçek is a Turkish politician best known for his long tenure as the mayor of Ankara and his prominent role in conservative Islamist politics.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a6b5f48190bdabf988d23f6e97 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589e9ff288190a8dfb62d32a330b5 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:44 p.m.