Triple
T16414833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Kam Bakhsh |
E398656
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Shahzada |
E379611
|
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: Shahzada | Statement: [Muhammad Kam Bakhsh, title, Shahzada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahzada Context triple: [Muhammad Kam Bakhsh, title, Shahzada]
-
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.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
C.
Zahir
Zahir is a given name of Arabic origin meaning "shining," "radiant," or "evident," used across various cultures as a masculine first or middle name.
-
D.
Khushal
Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
-
E.
Shamsher
Shamsher is the given first name of legendary Indian film actor and director Shammi Kapoor, a major star of Hindi cinema’s golden era.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287741008190856882b7f34024fc |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6a89988190a44515f1ca08099f |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.