Triple
T13451874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabi |
E320625
|
entity |
| Predicate | orthographicVariant |
P33995
|
FINISHED |
| Object | Nabī |
E320625
|
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: Nabī | Statement: [Nabi, orthographicVariant, Nabī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabī Context triple: [Nabi, orthographicVariant, Nabī]
-
A.
Nabi
Nabi was a late 19th-century French avant-garde art movement whose members emphasized flat color, decorative pattern, and symbolic, spiritual content in their paintings and prints.
-
B.
Nabi
chosen
Nabi is an Arabic term meaning "prophet," used as an honorific title for divinely chosen messengers such as Idris in Islamic tradition.
-
C.
Nabi
Nabi was a prominent Ottoman Divan poet known for his didactic style and moralistic themes in 17th-century Turkish literature.
-
D.
Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
-
E.
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.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399c539c819080802b620da6fcfc |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.