Triple
T547162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babur |
E12757
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Kamran 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: Kamran Mirza | Statement: [Babur, child, Kamran Mirza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamran Mirza Context triple: [Babur, child, Kamran Mirza]
-
A.
Karim Ahmad Khan
Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
-
B.
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.
-
C.
Tariq Anwar
Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
-
D.
M. Azhar
M. Azhar is an individual known for the honor of lighting the torch at the 1998 Commonwealth Games.
-
E.
Dalbandin
Dalbandin is a small town in Pakistan’s Balochistan province, known as an important stop along the Quetta–Taftan highway and for its proximity to the Chagai nuclear testing sites.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498e2e8c88190a66d759ed3094e18 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e02e0c1c81908fcb5356dc2b8f97 |
completed | March 2, 2026, 12:56 a.m. |
Created at: March 1, 2026, 7:32 p.m.