Triple
T15128052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pranab Mukherjee |
E361342
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mukherjee |
E587195
|
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: Mukherjee | Statement: [Pranab Mukherjee, familyName, Mukherjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukherjee Context triple: [Pranab Mukherjee, familyName, Mukherjee]
-
A.
Mukherjee
chosen
Mukherjee is a common Bengali surname originating from India, traditionally associated with the Brahmin community and widely borne by notable figures in politics, academia, and the arts.
-
B.
Chattopadhyay
Chattopadhyay is a Bengali surname notably borne by influential Indian writer Sarat Chandra Chattopadhyay, renowned for his socially conscious novels and stories.
-
C.
Ghosh
Ghosh is a common Indian Bengali surname historically associated with Hindu communities, particularly in the regions of West Bengal and Bangladesh.
-
D.
Sengupta
Sengupta is a common Bengali surname originating from the Indian subcontinent, traditionally associated with Bengali Hindu communities.
-
E.
Dasgupta
Dasgupta is a common Indian surname, particularly among Bengali communities, associated with numerous notable figures in academia, arts, and public life.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005aff2648190bda885c09421758d |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f865c08190ab8fd15c14d0c06c |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.