Triple
T17768525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayşe Kulin |
E443572
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ayşe |
—
|
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 | Statement: [Ayşe Kulin, givenName, Ayşe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayşe Context triple: [Ayşe Kulin, givenName, Ayşe]
-
A.
Ayşe
chosen
Ayşe is a common Turkish female given name of Arabic origin, widely used across Turkey and among Turkish communities.
-
B.
Hafsa Hatun
Hafsa Hatun was an Ottoman-era woman of notable status who is interred in the famed Yeşil Türbe (Green Tomb) in Bursa, Turkey.
-
C.
Aisha
Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
-
D.
Aisha
Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
-
E.
Aisha
Aisha is a notable work associated with the creator or project known as Gaia.
- 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.