Triple
T10253108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emine |
E240392
|
entity |
| Predicate | hasNotableBearer |
P458
|
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: [Emine, hasNotableBearer, Emine Sevgi Özdamar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emine Sevgi Özdamar Context triple: [Emine, hasNotableBearer, 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.
Semra Sezer
Semra Sezer is the wife of former Turkish President Ahmet Necdet Sezer and served as Turkey’s First Lady from 2000 to 2007.
-
D.
Ozlem Tureci
Özlem Türeci is a German physician, scientist, and entrepreneur best known as the co-founder and chief medical officer of BioNTech, where she helped develop one of the first mRNA-based COVID-19 vaccines.
-
E.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23f106c81909c1ce20a2ffa86ea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cc82110819095fb77eb964d23bd |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:29 a.m.