Triple
T20931586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reza Abbasi |
E515483
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Reza Abbasi |
—
|
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: Reza Abbasi | Statement: [Reza Abbasi, name, Reza Abbasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reza Abbasi Context triple: [Reza Abbasi, name, Reza Abbasi]
-
A.
Reza Abbasi
chosen
Reza Abbasi was a prominent Safavid-era Persian painter renowned for his elegant single-figure miniatures and influential role in the Isfahan school of art.
-
B.
Reza Radmanesh
Reza Radmanesh was an Iranian communist politician and prominent leader of the Tudeh Party of Iran, active in mid-20th-century leftist politics.
-
C.
Reza Mirkarimi
Reza Mirkarimi is an acclaimed Iranian film director and screenwriter known for his humanistic dramas and significant contributions to contemporary Iranian cinema.
-
D.
Mehdi Hatamian
Mehdi Hatamian is an electrical engineer and technologist recognized for his influential contributions to high-speed integrated circuits and signal processing, for which he has received major industry honors.
-
E.
Shervin Alenabi
Shervin Alenabi is an actor best known for his role in the espionage thriller television series "Tehran."
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.