Triple
T4594291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukesh Ambani |
E103570
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mukesh Ambani |
E103570
|
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: Mukesh Ambani | Statement: [Mukesh Ambani, name, Mukesh Ambani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukesh Ambani Context triple: [Mukesh Ambani, name, Mukesh Ambani]
-
A.
Mukesh Ambani
chosen
Mukesh Ambani is an Indian billionaire industrialist and chairman of Reliance Industries, one of the largest conglomerates in India.
-
B.
Anil Ambani
Anil Ambani is an Indian businessman and chairman of the Reliance Group, known for his prominent role in telecommunications, infrastructure, and financial services.
-
C.
Azim Premji
Azim Premji is an Indian business tycoon and philanthropist, best known as the longtime chairman of Wipro and one of the world’s leading charitable donors.
-
D.
Rishad Premji
Rishad Premji is an Indian business executive who serves as the chairman of Wipro Limited, one of India’s leading global IT services companies.
-
E.
Vijay Mallya
Vijay Mallya is an Indian businessman and former liquor baron best known for leading the UB Group and owning the now-defunct Kingfisher Airlines.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd593e115081909b11149e02fe4ef3 |
completed | March 20, 2026, 2:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0d7fce08190ac1e81b789a8242a |
completed | March 21, 2026, 12:05 a.m. |
Created at: March 20, 2026, 1:11 p.m.