Triple
T6926143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suraj Sharma |
E160313
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Madhur Mittal |
E243954
|
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: Madhur Mittal | Statement: [Suraj Sharma, workedWith, Madhur Mittal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madhur Mittal Context triple: [Suraj Sharma, workedWith, Madhur Mittal]
-
A.
Madhur Mittal
chosen
Madhur Mittal is an Indian actor best known for his role as Salim Malik in the Academy Award–winning film "Slumdog Millionaire."
-
B.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
-
C.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
D.
Ashok Arora
Ashok Arora is an Indian entrepreneur best known as one of the co-founders of the global IT services and consulting company Infosys.
-
E.
Nitin Desai
Nitin Desai is a noted Indian production designer and art director renowned for his elaborate sets in major Bollywood films and historical epics.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1aa9c48190b63a04be2ed9e266 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7513fddd88190b99c4b7e3364d218 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:27 p.m.