Triple
T9055304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian mythology |
E216980
|
entity |
| Predicate | hasMythicalFigure |
P86125
|
FINISHED |
| Object | Fereydun |
E129250
|
NE FINISHED |
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: Fereydun | Statement: [Iranian mythology, hasMythicalFigure, Fereydun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fereydun Context triple: [Iranian mythology, hasMythicalFigure, Fereydun]
-
A.
Fereydun
chosen
Fereydun is a legendary hero and king in Persian mythology, best known from the Shahnameh for overthrowing the tyrant Zahhak and ushering in a just reign.
-
B.
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.
-
C.
Fereydunkenar
Fereydunkenar is a coastal city in northern Iran known for its location on the Caspian Sea and its rich natural wetlands and rice-growing areas.
-
D.
Esfandiyar
Esfandiyar is a legendary Iranian prince and tragic hero in Ferdowsi’s epic Shahnameh, renowned for his invincibility and fateful confrontation with the champion Rostam.
-
E.
Khusrav
Khusrav is a masculine given name of Persian origin, historically borne by princes and notable figures in Central and South Asia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a7488188190b3dd6bc2f2377503 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0178be518819080bd6c8cf0a737e8 |
completed | April 3, 2026, 7:39 p.m. |
Created at: March 30, 2026, 7:10 p.m.