Triple
T22803875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali-Reza |
E564476
|
entity |
| Predicate | alternativeSpelling |
P457
|
FINISHED |
| Object | Alireza |
—
|
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: Alireza | Statement: [Ali-Reza, alternativeSpelling, Alireza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alireza Context triple: [Ali-Reza, alternativeSpelling, Alireza]
-
A.
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.
-
B.
Reza
Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
-
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.
Arsalan Jah
Arsalan Jah was a royal consort associated with the Asaf Jahi dynasty of Hyderabad and the mother of Mir Mahbub Ali Khan, the sixth Nizam of Hyderabad.
-
E.
Rasoul Azadani
Rasoul Azadani is a film cinematographer best known for his work on Disney’s animated feature "Tangled."
- 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.