Triple
T8659128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parviz Davoodi |
E205501
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Parviz Davoodi |
E205501
|
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: Parviz Davoodi | Statement: [Parviz Davoodi, name, Parviz Davoodi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parviz Davoodi Context triple: [Parviz Davoodi, name, Parviz Davoodi]
-
A.
Parviz Davoodi
chosen
Parviz Davoodi is an Iranian economist and conservative politician who served as the first vice president of Iran under President Mahmoud Ahmadinejad.
-
B.
Bijan Davari
Bijan Davari is an Iranian-American electrical engineer and IBM researcher known for his pioneering contributions to high-performance CMOS technology and microprocessor design.
-
C.
Manouchehr Eghbal
Manouchehr Eghbal was an Iranian physician and politician who served as prime minister under Shah Mohammad Reza Pahlavi during the late 1950s.
-
D.
Ebrahim Hakimi
Ebrahim Hakimi was an Iranian statesman and politician who served multiple terms as prime minister during the Pahlavi era in the mid-20th century.
-
E.
Behrouz Vossoughi
Behrouz Vossoughi is a legendary Iranian film actor renowned for his powerful performances in classic pre-revolutionary and international cinema.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486ece68819089c74bdf98b64490 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d016e84df4819092b442216a5f6c9e |
completed | April 3, 2026, 7:37 p.m. |
Created at: March 30, 2026, 6:30 p.m.