Triple
T20931294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siyavash |
E515476
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object |
Siyāvash
Siyāvash is a tragic prince in the Persian epic Shahnameh, renowned for his innocence, sense of justice, and unjust martyrdom.
|
E1458058
|
NE FINISHED |
How this triple was built (4 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: Siyāvash | Statement: [Siyavash, nameVariant, Siyāvash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siyāvash Context triple: [Siyavash, nameVariant, Siyāvash]
-
A.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
B.
Dārayamūš
Dārayamūš is the Akkadian form of the name Darius, used in ancient Mesopotamian texts to refer to the Achaemenid Persian kings bearing that name.
-
C.
Shahdad
Shahdad is an oasis town in Iran’s Kerman Province, known as a gateway to the Lut Desert (Dasht-e Lut) and its striking desert landscapes and kalut formations.
-
D.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
-
E.
Tuyserkan
Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Siyāvash Triple: [Siyavash, nameVariant, Siyāvash]
Generated description
Siyāvash is a tragic prince in the Persian epic Shahnameh, renowned for his innocence, sense of justice, and unjust martyrdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siyāvash Target entity description: Siyāvash is a tragic prince in the Persian epic Shahnameh, renowned for his innocence, sense of justice, and unjust martyrdom.
-
A.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
B.
Dārayamūš
Dārayamūš is the Akkadian form of the name Darius, used in ancient Mesopotamian texts to refer to the Achaemenid Persian kings bearing that name.
-
C.
Shahdad
Shahdad is an oasis town in Iran’s Kerman Province, known as a gateway to the Lut Desert (Dasht-e Lut) and its striking desert landscapes and kalut formations.
-
D.
Firuzkuh
Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
-
E.
Tuyserkan
Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
- F. None of above. chosen
Provenance (5 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6557e4881909ce932c3f538304a |
completed | April 21, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fd064248190ae7ae1c980b68b8c |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a0920c37ec48190a043097a24151022 |
completed | May 17, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09219be3c48190a610062e59e05876 |
completed | May 17, 2026, 2:02 a.m. |
Created at: April 16, 2026, 12:49 p.m.