Triple
T18130879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Shah Zaman |
E434005
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | King Shahryar |
—
|
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: King Shahryar | Statement: [King Shah Zaman, relative, King Shahryar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Shahryar Context triple: [King Shah Zaman, relative, King Shahryar]
-
A.
King Shahryar
chosen
King Shahryar is the legendary Persian monarch in The Arabian Nights whose practice of marrying and executing a new bride each day is ultimately transformed by Scheherazade’s storytelling.
-
B.
Shahriyar
Shahriyar was a Sasanian Persian prince, known primarily as the son of the last Sasanian king, Yazdegerd III.
-
C.
Amir of Kerman
The Amir of Kerman was a medieval Islamic ruler governing the important province and city of Kerman in present-day Iran.
-
D.
Amir of Fars
The Amir of Fars was the Buyid ruler and military governor of the historically important Fars province in southwestern Iran.
-
E.
Alaeddin
Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf1e2508190993f65ca137fdf63 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.