Triple
T20067089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian honorifics |
E499634
|
entity |
| Predicate | include |
P1393
|
FINISHED |
| Object | title "Shahzadeh" |
—
|
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: title "Shahzadeh" | Statement: [Persian honorifics, include, title "Shahzadeh"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: title "Shahzadeh" Context triple: [Persian honorifics, include, title "Shahzadeh"]
-
A.
Shahzada
chosen
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
B.
Sharafat
Sharafat is an Indian film for which Kamal Bose is particularly recognized for his acclaimed cinematography work.
-
C.
Dastan
Dastan is a legendary Iranian hero and warrior from Persian epic tradition, often associated with the tales surrounding Zal and the Shahnameh.
-
D.
Shashmaqam
Shashmaqam is a classical Central Asian musical genre characterized by complex modal structures, poetic lyrics, and a rich performance tradition shared primarily by Tajik and Uzbek cultures.
-
E.
Zar Zari Zar Baksh
Zar Zari Zar Baksh is a revered Sufi saint whose shrine in Khuldabad, Maharashtra, is an important site of Islamic pilgrimage and devotion.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66379f2cc81908f13a7b216878f12 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.