Triple
T3860819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alamgir I |
E90130
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Muhammad Akbar |
E97358
|
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: Muhammad Akbar | Statement: [Alamgir I, child, Muhammad Akbar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muhammad Akbar Context triple: [Alamgir I, child, Muhammad Akbar]
-
A.
Muhammad Akbar
chosen
Muhammad Akbar was a Mughal prince and son of Emperor Aurangzeb who is known for rebelling against his father and seeking refuge at the court of the Maratha leader Sambhaji and later in Persia.
-
B.
Yunus Khan
Yunus Khan was a 15th-century Moghul khan of Moghulistan and the maternal grandfather of the Mughal emperor Babur.
-
C.
Iskander Ali Mirza
Iskander Ali Mirza was the first President of Pakistan, serving from 1956 until he was deposed in a military coup in 1958.
-
D.
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.
-
E.
Ahmad Khan Mahmidzada
Ahmad Khan Mahmidzada is an Afghan actor best known for playing the young Hassan in the film adaptation of "The Kite Runner."
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec212a1c8190aba6311630c3fd3e |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512348fe88190b5ae942809732b76 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.