Triple
T4502964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halime Hatun |
E101265
|
entity |
| Predicate | honorific |
P301
|
FINISHED |
| Object |
Hatun
Hatun is a historical Turkish honorific title traditionally used for noblewomen or ladies of high social status in Turkic and Ottoman societies.
|
E447353
|
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: Hatun | Statement: [Halime Hatun, honorific, Hatun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatun Context triple: [Halime Hatun, honorific, Hatun]
-
A.
Harauti
Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
-
B.
Hunza
Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
-
C.
Hunza
Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
-
D.
Hachuamish
Hachuamish is a traditional clan or band within the Duwamish people, an Indigenous Coast Salish group native to the Seattle area of Washington State.
-
E.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
- 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: Hatun Triple: [Halime Hatun, honorific, Hatun]
Generated description
Hatun is a historical Turkish honorific title traditionally used for noblewomen or ladies of high social status in Turkic and Ottoman societies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatun Target entity description: Hatun is a historical Turkish honorific title traditionally used for noblewomen or ladies of high social status in Turkic and Ottoman societies.
-
A.
Harauti
Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
-
B.
Hunza
Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
-
C.
Hunza
Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
-
D.
Hachuamish
Hachuamish is a traditional clan or band within the Duwamish people, an Indigenous Coast Salish group native to the Seattle area of Washington State.
-
E.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fb2bec8190b74b6a49d9475514 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f90d6a4819085d911de5443f111 |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71b00a2481909309765b6cc2e73d |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd727abda08190bdc1d6ea015f3e46 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:01 p.m.