Triple
T3976943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Manekshaw |
E85665
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sam Bahadur |
E403527
|
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: Sam Bahadur | Statement: [Sam Manekshaw, alsoKnownAs, Sam Bahadur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Bahadur Context triple: [Sam Manekshaw, alsoKnownAs, Sam Bahadur]
-
A.
Sam Bahadur
chosen
Sam Bahadur is the popular nickname of Field Marshal Sam Manekshaw, the celebrated Indian Army chief who led India to victory in the 1971 Indo-Pakistani War.
-
B.
Mahabir Prasad
Mahabir Prasad was an Indian politician who served as a Governor of the state of Haryana.
-
C.
Man Singh
Man Singh was an Indian noble and close associate of Nana Sahib who played a role in the events of the 1857 Indian Rebellion.
-
D.
Mahal Singh Bhatti
Mahal Singh Bhatti is an Indian politician who has served as the Governor of the state of Haryana.
-
E.
Indar Jit Rikhye
Indar Jit Rikhye was an Indian Army officer and prominent United Nations military adviser known for his leadership roles in UN peacekeeping operations.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b876d8819082f4b81c9699913a |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c472d048190843b29a6a9a4be86 |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:33 p.m.