Triple
T4516645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kripa |
E102168
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Kripacharya |
E102168
|
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: Kripacharya | Statement: [Kripa, alsoKnownAs, Kripacharya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kripacharya Context triple: [Kripa, alsoKnownAs, Kripacharya]
-
A.
Kripa
chosen
Kripa is a revered warrior and sage in the Mahabharata, known as one of the few survivors of the Kurukshetra war and respected as a wise teacher and counselor.
-
B.
Yantra Raj
Yantra Raj is a monumental astronomical instrument at Jaipur’s Jantar Mantar observatory, historically used for precise celestial measurements and timekeeping.
-
C.
Sarpanit
Sarpanit is a Mesopotamian goddess, chiefly known as the consort of the Babylonian god Marduk and associated with fertility and motherhood.
-
D.
Priyadarshana
Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
-
E.
Kesava
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.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5726983c8190bca116eeee54241c |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f93a6808190bc1290232998184c |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:02 p.m.