Triple
T1410970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azim Premji |
E31802
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Azim |
E33418
|
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: Azim | Statement: [Azim Premji, givenName, Azim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azim Context triple: [Azim Premji, givenName, Azim]
-
A.
Azim
chosen
Azim is the given name of Azim Premji, the Indian business tycoon and philanthropist known for leading Wipro and his extensive charitable work.
-
B.
Salim
Salim was the birth name of Jahangir, the fourth Mughal emperor of India known for his patronage of the arts and consolidation of the empire.
-
C.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
D.
Abdus
Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
-
E.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e1da988190bc7c187e193539b6 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57be14881908d469d2b5333d6d5 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.