Triple
T22803874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali-Reza |
E564476
|
entity |
| Predicate | scriptForm |
P9329
|
FINISHED |
| Object | علیرضا |
—
|
NE NERFINISHED |
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: علیرضا | Statement: [Ali-Reza, scriptForm, علیرضا]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: علیرضا Context triple: [Ali-Reza, scriptForm, علیرضا]
-
A.
Ezzatolah
Ezzatolah is a masculine given name of Persian origin, notably borne by figures in Iranian arts and culture.
-
B.
Rūzbeh
Rūzbeh was the original Persian name of Ibn al-Muqaffaʿ, the influential 8th-century translator and prose stylist who helped shape early Arabic literature.
-
C.
Ali-Reza
chosen
Ali-Reza is a Persian male given name commonly used in Iran and among Persian-speaking communities, often associated with religious and historical figures.
-
D.
Rahmat Shoureshi
Rahmat Shoureshi is an engineer and academic leader known for co-founding Lattice Semiconductor and serving in senior roles at several universities.
-
E.
Abdolrahman Bagheri
Abdolrahman Bagheri is an Iranian actor best known for his role in Abbas Kiarostami’s acclaimed film "Taste of Cherry."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:31 p.m.