Triple
T5129467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaukat Ali |
E115660
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shaukat |
E115660
|
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: Shaukat | Statement: [Shaukat Ali, givenName, Shaukat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaukat Context triple: [Shaukat Ali, givenName, Shaukat]
-
A.
Khurram
Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
-
B.
Khawaja
Khawaja is a South Asian honorific and given name commonly associated with Muslim men, particularly in regions such as Pakistan, India, and Bangladesh.
-
C.
Shaukat Ali
chosen
Shaukat Ali was a prominent Indian Muslim nationalist leader and activist best known for his role in the Khilafat Movement alongside his brother Mohammad Ali Jauhar.
-
D.
Muhammad Kam Bakhsh
Muhammad Kam Bakhsh was the youngest son of the Mughal emperor Aurangzeb (Alamgir I), known for his brief and ultimately unsuccessful bid for power during the empire’s decline.
-
E.
Zafar Saifullah
Zafar Saifullah was a senior Indian civil servant who served as Cabinet Secretary and held several key administrative positions in the Government of India.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7825facc8190b2a6c17216290b5c |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefa31458819094b53cbc7a2f5677 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:42 p.m.