Triple
T15876075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khosrow and Shirin |
E384955
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Farhad |
E1181021
|
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: Farhad | Statement: [Khosrow and Shirin, hasCharacter, Farhad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farhad Context triple: [Khosrow and Shirin, hasCharacter, Farhad]
-
A.
Farhad
chosen
Farhad is a legendary tragic lover and sculptor in Persian literature, best known for his unrequited love and heroic labors in the romance of Khosrow and Shirin.
-
B.
Fereydun
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.
-
C.
Malek
Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
-
D.
Behram
Behram is an alternative name for the ancient Greek city of Assos, a historic coastal settlement in present-day Turkey known for its classical ruins and scenic Aegean setting.
-
E.
Rustam
Rustam is a town and administrative settlement located within the Mardan District of Khyber Pakhtunkhwa, Pakistan.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fdc1b881909d1c82c4c66a195a |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb041adac8190a8e6e5c646fdedf3 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.