Triple
T19281404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Kalpi |
E482195
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Rao Sahib |
—
|
NE NERFINISHED |
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: Rao Sahib | Statement: [Battle of Kalpi, commander, Rao Sahib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rao Sahib Context triple: [Battle of Kalpi, commander, Rao Sahib]
-
A.
Rao Sahib
chosen
Rao Sahib was a prominent leader in the Indian Rebellion of 1857, known especially for his role in directing rebel forces in central India.
-
B.
Raza Sahib
Raza Sahib was an 18th-century military leader in southern India who commanded forces during the Siege of Arcot in the Carnatic Wars.
-
C.
Jam Sahib
Jam Sahib is the hereditary royal title borne by the rulers of the former princely state of Nawanagar in present-day Gujarat, India.
-
D.
Massey Sahib
Massey Sahib is a 1985 Indian English-language period drama film directed by Pradip Krishen, known for its portrayal of a British colonial clerk in 1920s Central India.
-
E.
Tom Alter Sahib
Tom Alter Sahib is the honorific name used for Tom Alter, an Indian actor of American descent renowned for his work in Hindi cinema, theatre, and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.