Triple
T6921884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir |
E160204
|
entity |
| Predicate | relatedTitle |
P914
|
FINISHED |
| Object | Mirza |
E68477
|
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: Mirza | Statement: [Mir, relatedTitle, Mirza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirza Context triple: [Mir, relatedTitle, Mirza]
-
A.
Mirza
chosen
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.
-
B.
Shahzada
Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
-
C.
Mirza Khazar
Mirza Khazar is a prominent Azerbaijani-American journalist, translator, and broadcaster best known for his influential work with Radio Free Europe/Radio Liberty and his modern Azerbaijani translation of the Bible.
-
D.
Malek
Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
-
E.
Cassim
Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fb8ac48190b50bbc47fad8288f |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75137dd848190b35ff72725f886ba |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:26 p.m.