Triple
T17989359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarmad Kashani |
E430326
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sarmad Kashani |
—
|
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: Sarmad Kashani | Statement: [Sarmad Kashani, name, Sarmad Kashani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarmad Kashani Context triple: [Sarmad Kashani, name, Sarmad Kashani]
-
A.
Sarmad Kashani
chosen
Sarmad Kashani was a 17th-century Persian-Armenian mystic, poet, and Sufi saint known for his unorthodox spirituality and eventual execution in Mughal India.
-
B.
Saeed Sohrab
Saeed Sohrab is an Iranian academic and mathematician recognized as a distinguished alumnus of Sharif University of Technology.
-
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.
Ramazan Bashardost
Ramazan Bashardost is an Afghan politician and former planning minister known for his anti-corruption stance and populist, reformist campaigns for the presidency.
-
E.
Farhad Shami
Farhad Shami is a Kurdish media figure and political activist best known as the official spokesperson for the Syrian Democratic Forces in northern and eastern Syria.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29e47a88190be58b79c73d3e652 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.