Triple
T10443887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S. L. Bhyrappa |
E246234
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Saartha |
E249112
|
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: Saartha | Statement: [S. L. Bhyrappa, notableWork, Saartha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saartha Context triple: [S. L. Bhyrappa, notableWork, Saartha]
-
A.
Saartha
chosen
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
B.
Velathri
Velathri is the ancient Etruscan city that later became known as Volterra, located in present-day Tuscany, Italy.
-
C.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
D.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
E.
Sraosha
Sraosha is a key Zoroastrian divinity associated with obedience, religious devotion, and the protection of the righteous, often depicted as a guardian against evil forces.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbe5dc48190b4291bfd0fb988eb |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc43e53081909e14cfe295d17cb2 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:15 p.m.