Triple
T21017941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudabeh |
E517728
|
entity |
| Predicate | relatedCharacter |
P37304
|
FINISHED |
| Object | Siyavash |
—
|
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: Siyavash | Statement: [Sudabeh, relatedCharacter, Siyavash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siyavash Context triple: [Sudabeh, relatedCharacter, Siyavash]
-
A.
Siyavash
chosen
Siyavash is a tragic prince and hero in the Persian epic Shahnameh, renowned for his innocence, loyalty, and unjust death.
-
B.
Siyāvash
Siyāvash is a tragic prince in the Persian epic Shahnameh, renowned for his innocence, sense of justice, and unjust martyrdom.
-
C.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
-
D.
Serakhulle
Serakhulle refers to the Soninke people, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
-
E.
Senyavin
Senyavin is a Russian surname most notably associated with a family of naval officers and admirals in the Imperial Russian Navy.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5a27f08190b26828a6a7b59f7c |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.