Triple
T23402048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katayun |
E559530
|
entity |
| Predicate | fatherInLaw |
P18081
|
FINISHED |
| Object | Lohrasp |
—
|
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: Lohrasp | Statement: [Katayun, fatherInLaw, Lohrasp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lohrasp Context triple: [Katayun, fatherInLaw, Lohrasp]
-
A.
Lohrasp
chosen
Lohrasp is a legendary king in Persian mythology, known from the Shahnameh as a ruler of Iran who followed the heroic reigns of earlier Kayanian monarchs.
-
B.
Sorauren
Sorauren is a village in northern Spain, near Pamplona in Navarre, known as a historic battlefield site from the Peninsular War.
-
C.
Lauburu
Lauburu is a traditional Basque four-armed swastika-like symbol widely associated with Basque identity and culture.
-
D.
Aornos
Aornos was a formidable mountain stronghold in ancient Pakistan, famously besieged and captured by Alexander the Great during his campaign in the Indian subcontinent.
-
E.
Louhi
Louhi is a powerful and malevolent witch-queen of the land of Pohjola in Finnish mythology, best known as a central antagonist in the national epic Kalevala.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e09ccc81909869d2c5f6d68432 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.