Triple
T22896842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krishnaswamy |
E568195
|
entity |
| Predicate | hasNameElement |
P3097
|
FINISHED |
| Object | Swamy |
—
|
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: Swamy | Statement: [Krishnaswamy, hasNameElement, Swamy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swamy Context triple: [Krishnaswamy, hasNameElement, Swamy]
-
A.
Swami
Swami is an Indian film written by Girish Karnad that explores complex human relationships and social realities.
-
B.
Swami
chosen
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
-
C.
Siddharama
Siddharama was a 12th-century Kannada saint-poet and prominent Veerashaiva mystic known for his influential vachana literature and social reform.
-
D.
Sivaguru
Sivaguru was a Hindu Brahmin scholar and the father of the philosopher and theologian Adi Shankaracharya, traditionally associated with the village of Kalady in Kerala, India.
-
E.
Shankara
Shankara is a revered epithet of the Hindu god Shiva, highlighting his role as a benevolent and auspicious divine benefactor.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801358488190aa2a51f0943ea5bd |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.