Triple
T19710184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazime Sultan |
E473321
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nazime
Nazime is an Ottoman princess, the daughter of Sultan Abdulaziz, known for her role in the late Ottoman imperial family.
|
E1391643
|
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: Nazime | Statement: [Nazime Sultan, givenName, Nazime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazime Context triple: [Nazime Sultan, givenName, Nazime]
-
A.
Naameh
Naameh is a central character in the 2014 biblical epic film "Noah," portrayed as Noah’s devoted wife and partner in facing the coming flood.
-
B.
Naziy
Naziy is an urban-type settlement in Russia’s Leningrad Oblast, located within the Kirovsky District.
-
C.
Nassim
Nassim is the first name of Nassim Nicholas Taleb, a Lebanese-American scholar, statistician, and former trader known for his work on risk, probability, and uncertainty.
-
D.
Nasr
Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
-
E.
Taymour
Taymour is a Lebanese Druze politician and heir to the Jumblatt political dynasty, known as the son and successor of veteran leader Walid Jumblatt.
- 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: Nazime Triple: [Nazime Sultan, givenName, Nazime]
Generated description
Nazime is an Ottoman princess, the daughter of Sultan Abdulaziz, known for her role in the late Ottoman imperial family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nazime Target entity description: Nazime is an Ottoman princess, the daughter of Sultan Abdulaziz, known for her role in the late Ottoman imperial family.
-
A.
Naameh
Naameh is a central character in the 2014 biblical epic film "Noah," portrayed as Noah’s devoted wife and partner in facing the coming flood.
-
B.
Naziy
Naziy is an urban-type settlement in Russia’s Leningrad Oblast, located within the Kirovsky District.
-
C.
Nassim
Nassim is the first name of Nassim Nicholas Taleb, a Lebanese-American scholar, statistician, and former trader known for his work on risk, probability, and uncertainty.
-
D.
Nasr
Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
-
E.
Taymour
Taymour is a Lebanese Druze politician and heir to the Jumblatt political dynasty, known as the son and successor of veteran leader Walid Jumblatt.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64407ed208190944ae43b5e44bbdc |
completed | April 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab9cbf0c8190a34ceeeb9960677b |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07ac51fddc8190840698fb5cee0ea0 |
completed | May 15, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ae6493608190b8bc885ab8a916b2 |
completed | May 15, 2026, 11:38 p.m. |
Created at: April 10, 2026, 1:46 p.m.