Triple
T19429274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keshi |
E486066
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Kesava |
—
|
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: Kesava | Statement: [Keshi, enemyOf, Kesava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kesava Context triple: [Keshi, enemyOf, Kesava]
-
A.
Kesava
chosen
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
B.
Keesara
Keesara is a suburban area near Hyderabad in Telangana, India, known for its historic Keesaragutta temple and growing residential development.
-
C.
Kailasam
Kailasam is the given name of renowned Indian filmmaker and playwright K. Balachander, a major figure in Tamil cinema and theatre.
-
D.
Lavanasura
Lavanasura is a demon king in Hindu mythology, known primarily as a formidable adversary defeated by Shatrughna, the younger brother of Lord Rama.
-
E.
Sudharak
Sudharak was a Marathi-language social reformist periodical associated with progressive thinker Gopal Ganesh Agarkar, known for advocating rationalism and social change in late 19th-century India.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321b78d08190b86cef7c60cbb61c |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.