Triple
T20931469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turan |
E515480
|
entity |
| Predicate | enemyOfHero |
P108097
|
FINISHED |
| Object | Siavash |
—
|
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: Siavash | Statement: [Turan, enemyOfHero, Siavash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siavash Context triple: [Turan, enemyOfHero, Siavash]
-
A.
Siyāvash
chosen
Siyāvash is a tragic prince in the Persian epic Shahnameh, renowned for his innocence, sense of justice, and unjust martyrdom.
-
B.
Tuyserkan
Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
-
C.
Meykandar
Meykandar was a 13th-century South Indian philosopher and theologian whose writings systematized and profoundly shaped the Shaiva Siddhanta school of Hindu thought.
-
D.
Shahnour
Shahnour is the Armenian birth name of the renowned French-Armenian singer, songwriter, and actor Charles Aznavour.
-
E.
Kheibar Shekan
Kheibar Shekan is an Iranian long-range, solid-fueled ballistic missile designed for high precision and rapid deployment against regional targets.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.