Triple
T17892392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatun |
E447353
|
entity |
| Predicate | partiallyReplacedBy |
P101
|
FINISHED |
| Object |
Hanım
Hanım is a Turkish honorific title traditionally used to address or refer to women with respect and courtesy.
|
E1294054
|
NE FINISHED |
How this triple was built (4 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: [Hatun, partiallyReplacedBy, Hanım]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanım Context triple: [Hatun, partiallyReplacedBy, Hanım]
-
A.
Kadın
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hanım Triple: [Hatun, partiallyReplacedBy, Hanım]
Generated description
Hanım is a Turkish honorific title traditionally used to address or refer to women with respect and courtesy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanım Target entity description: Hanım is a Turkish honorific title traditionally used to address or refer to women with respect and courtesy.
-
A.
Kadın
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. chosen
Provenance (5 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7a855c8190b20bdbf6dcd4fd47 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313e10c40819089cb912a020b32de |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031528abac8190b5257eff1647b6b3 |
completed | May 12, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03164881ec8190a783b095f3cf47b3 |
completed | May 12, 2026, noon |
Created at: April 10, 2026, 10:19 a.m.