Triple
T20594109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nematollah Nassiri |
E506005
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nassiri |
—
|
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: Nassiri | Statement: [Nematollah Nassiri, familyName, Nassiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nassiri Context triple: [Nematollah Nassiri, familyName, Nassiri]
-
A.
Nasiri
chosen
Nasiri is the family name of the ruling house of the Nasiri dynasty, a historical Muslim dynasty.
-
B.
Nematollah
Nematollah is a Persian given name commonly used in Iran and among Persian-speaking communities.
-
C.
Malek Asraf
Malek Asraf was a 14th-century ruler of the Chobanid dynasty in northwestern Iran, known for presiding over the final phase of their short-lived post-Ilkhanid state.
-
D.
Naser
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
-
E.
Nasrullah
Nasrullah was a highly influential Thoroughbred racehorse and sire whose bloodline has shaped modern flat and National Hunt racing.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97e3a7c8190b0b4604aaf40564b |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.