Triple
T2510079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emine Sevgi Özdamar |
E52679
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Emine |
E240392
|
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 | Statement: [Emine Sevgi Özdamar, givenName, Emine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emine Context triple: [Emine Sevgi Özdamar, givenName, Emine]
-
A.
Emine
chosen
Emine is a Turkish feminine given name commonly borne by women, including prominent public figures in Turkey.
-
B.
Esra
Esra is a feminine given name commonly used in Turkey and other countries with Islamic cultural influence.
-
C.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
D.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
E.
Gulnare
Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1ed94a08190a172a426c2123f36 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fac64a881909ed527a7c50ba720 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.