Triple
T16102194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazli Sabri |
E390647
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sabri |
E669410
|
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: Sabri | Statement: [Nazli Sabri, familyName, Sabri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabri Context triple: [Nazli Sabri, familyName, Sabri]
-
A.
Sinan al-Shabibi
Sinan al-Shabibi was an Iraqi economist best known for serving as governor of the Central Bank of Iraq, where he led major post-2003 monetary and financial reforms.
-
B.
Mustafa Sabri
chosen
Mustafa Sabri was a prominent late Ottoman scholar and the last officially recognized Shaykh al-Islam, known for his staunch opposition to secular reforms in Turkey.
-
C.
Nasir
Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
-
D.
Nasir
Nasir is a creative work associated with Wyoming Sessions, likely a music release or recording project.
-
E.
Moeed Yusuf
Moeed Yusuf is a Pakistani academic and policy expert who has served as the country’s National Security Adviser, focusing on strategic, security, and foreign policy issues.
- 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_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. |
Created at: April 10, 2026, 5 a.m.