Triple
T22197675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lohrasp |
E548588
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Zarir |
—
|
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: Zarir | Statement: [Lohrasp, relative, Zarir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zarir Context triple: [Lohrasp, relative, Zarir]
-
A.
Zarir
chosen
Zarir is a figure in Zoroastrian and Persian epic tradition, known as a heroic prince and warrior associated with the Kayanian dynasty.
-
B.
Mirzam
Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
-
C.
Akthar
Akthar is an individual or entity known primarily through an association with Rudge, likely within a shared professional, academic, or organizational context.
-
D.
Izhar
Izhar is a biblical figure from the Hebrew Bible, known as a Levite and the father of Korah.
-
E.
Dhahir
Dhahir is a city located in Yemen's Saada region, known for its position in the country's mountainous northern area.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae8c74c819080c7f9e8383ecaa7 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:36 p.m.