Triple
T1040051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahnameh |
E22449
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Jamshid
Jamshid is a legendary king in Persian mythology, renowned for his long, prosperous reign and his central role in ancient Iranian cultural and epic traditions.
|
E125607
|
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: Jamshid | Statement: [Shahnameh, featuresCharacter, Jamshid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamshid Context triple: [Shahnameh, featuresCharacter, Jamshid]
-
A.
Dinarzad
Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
-
B.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
C.
Sohrab
Sohrab is a tragic hero in the Persian epic Shahnameh, famed as the valiant but ill-fated son of the champion Rostam.
-
D.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
E.
Eskandar
Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
- 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: Jamshid Triple: [Shahnameh, featuresCharacter, Jamshid]
Generated description
Jamshid is a legendary king in Persian mythology, renowned for his long, prosperous reign and his central role in ancient Iranian cultural and epic traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jamshid Target entity description: Jamshid is a legendary king in Persian mythology, renowned for his long, prosperous reign and his central role in ancient Iranian cultural and epic traditions.
-
A.
Dinarzad
Dinarzad is a character in The Arabian Nights, known as Shahrazad’s younger sister who prompts her to tell stories each night to the king.
-
B.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
C.
Sohrab
Sohrab is a tragic hero in the Persian epic Shahnameh, famed as the valiant but ill-fated son of the champion Rostam.
-
D.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
E.
Eskandar
Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82e4d2c81909ca1264852baf04d |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c18692c819092e1045199053a39 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4ca07ce88190bfbf959adc84a74e |
completed | March 7, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d3f62c881908e189bfe8cbbd2ac |
completed | March 7, 2026, 4:07 p.m. |
Created at: March 1, 2026, 7:41 p.m.