Triple
T6706266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arjun Sengupta |
E153011
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Arjun Sengupta |
E153011
|
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: Arjun Sengupta | Statement: [Arjun Sengupta, name, Arjun Sengupta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arjun Sengupta Context triple: [Arjun Sengupta, name, Arjun Sengupta]
-
A.
Arjun Sengupta
chosen
Arjun Sengupta was an Indian economist, diplomat, and politician known for his work on human rights, poverty, and the informal economy, including serving as UN Special Rapporteur on the Right to Development.
-
B.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
C.
Ash Mukherjee
Ash Mukherjee is a character in the British television drama series "It's a Sin," which explores the lives of young gay men during the 1980s AIDS crisis in London.
-
D.
Rajeev Suri
Rajeev Suri is an Indian business executive best known for serving as the CEO of Nokia and later Inmarsat, leading major transformations in the global telecommunications industry.
-
E.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0ea8cfc819081affc73603c2cf3 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7008aeac08190887a7bf5703b69f4 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.