Triple
T3299213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindal Mirza |
E69288
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Hindal Mirza |
E69288
|
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: Hindal Mirza | Statement: [Hindal Mirza, fullName, Hindal Mirza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hindal Mirza Context triple: [Hindal Mirza, fullName, Hindal Mirza]
-
A.
Hindal Mirza
chosen
Hindal Mirza was a Mughal prince, the youngest son of Emperor Babur and a notable figure in the early Mughal court and succession struggles.
-
B.
Naheed Mirza
Naheed Mirza was the wife of Iskander Mirza, the first President of Pakistan.
-
C.
M. S. Khan
M. S. Khan was a prominent leader and figure in the 1946 Royal Indian Navy mutiny against British colonial rule.
-
D.
Hina Jilani
Hina Jilani is a prominent Pakistani lawyer and human rights activist known for her pioneering work in women's rights, civil liberties, and international justice.
-
E.
Zaved Mahmood
Zaved Mahmood is a Bangladeshi-born human rights lawyer and activist, known for his work with the United Nations and as the husband of British novelist Philip Hensher.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a49b748190b6db99a85c3cb3c5 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d759908190b1f5170930ff03c5 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:11 p.m.