Triple
T12556474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balaji Vishwanath Bhat |
E295229
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Chimaji Appa |
E292829
|
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: Chimaji Appa | Statement: [Balaji Vishwanath Bhat, child, Chimaji Appa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chimaji Appa Context triple: [Balaji Vishwanath Bhat, child, Chimaji Appa]
-
A.
Chimaji Appa
chosen
Chimaji Appa was an 18th-century Maratha military commander best known for leading successful campaigns against the Portuguese in western India, including the capture of Vasai (Bassein).
-
B.
Kwan-non
Kwan-non is an alternative spelling of Kannon, the Japanese Buddhist bodhisattva of compassion derived from the Chinese Guanyin.
-
C.
Chi-Fu
Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
-
D.
Bum-chu
Bum-chu is the Tibetan name for the Arun River, a major transboundary river flowing from Tibet through Nepal toward the Ganges basin.
-
E.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95490d2708190857f0cb9b8dd6a30 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655895c9c819082f41e79906567c6 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:47 p.m.