Triple
T7057101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazli Hanem |
E164119
|
entity |
| Predicate | nobleTitle |
P914
|
FINISHED |
| Object | Hanım |
E517100
|
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: Hanım | Statement: [Nazli Hanem, nobleTitle, Hanım]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanım Context triple: [Nazli Hanem, nobleTitle, Hanım]
-
A.
Kadın
chosen
Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
-
B.
Hekimhan
Hekimhan is a town and district in Malatya Province in eastern Turkey.
-
C.
Hamida
Hamida is a central, ambitious young woman in Naguib Mahfouz’s novel "Midaq Alley," whose desire to escape poverty and traditional constraints drives much of the story’s conflict.
-
D.
Müşfika Kadın
Müşfika Kadın was one of the consorts of Ottoman Sultan Abdul Hamid II and a member of the late Ottoman imperial harem.
-
E.
Peyveste Hanım
Peyveste Hanım was one of the consorts of Ottoman Sultan Abdul Hamid II and a member of the late Ottoman imperial harem.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e26a130c81908bdad15f5c4ae15d |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788a303148190869be2a455d28791 |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:38 p.m.