Triple
T16102193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazli Sabri |
E390647
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nazli
Nazli is a feminine given name of Persian and Turkish origin, commonly used in various Middle Eastern and Balkan cultures.
|
E1194245
|
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: Nazli | Statement: [Nazli Sabri, givenName, Nazli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazli Context triple: [Nazli Sabri, givenName, Nazli]
-
A.
Zinya
Zinya is a diminutive, affectionate form of the Russian male given name Zinovy.
-
B.
Nazli Hanem
Nazli Hanem was an Egyptian princess and Ottoman noblewoman, best known as a daughter of the powerful 19th-century ruler Muhammad Ali Pasha.
-
C.
Zohra
Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
-
D.
Farzana
Farzana is an individual known primarily as the spouse of Hassan.
-
E.
Anizah
Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
- 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: Nazli Triple: [Nazli Sabri, givenName, Nazli]
Generated description
Nazli is a feminine given name of Persian and Turkish origin, commonly used in various Middle Eastern and Balkan cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nazli Target entity description: Nazli is a feminine given name of Persian and Turkish origin, commonly used in various Middle Eastern and Balkan cultures.
-
A.
Zinya
Zinya is a diminutive, affectionate form of the Russian male given name Zinovy.
-
B.
Nazli Hanem
Nazli Hanem was an Egyptian princess and Ottoman noblewoman, best known as a daughter of the powerful 19th-century ruler Muhammad Ali Pasha.
-
C.
Zohra
Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
-
D.
Farzana
Farzana is an individual known primarily as the spouse of Hassan.
-
E.
Anizah
Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6976ec8190b499e99b196b0285 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba007c08190bf4d3cf092abc7dd |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffecb8c71481908b4913bb078b6415 |
completed | May 10, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed469a5c8190932fa4ebc44358c4 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 10, 2026, 5 a.m.