Triple
T19732483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naga |
E473888
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Shesha |
—
|
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: Shesha | Statement: [Naga, notableMember, Shesha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shesha Context triple: [Naga, notableMember, Shesha]
-
A.
Shesha
chosen
Shesha is the cosmic serpent in Hindu mythology who serves as the divine couch of Lord Vishnu and symbolizes eternity and the foundation of the universe.
-
B.
Dhruva
Dhruva is a legendary child devotee in Hindu tradition renowned for his intense penance and unwavering devotion to Vishnu, through which he attained an eternal celestial abode as the Pole Star.
-
C.
Shaula
Shaula is a bright multiple-star system marking the stinger of the constellation Scorpius and is one of the most luminous stars visible to the naked eye.
-
D.
Meissa
Meissa is a multiple-star system that marks the head of the constellation Orion and serves as one of its prominent stellar features.
-
E.
Saiph
Saiph is a bright blue supergiant star that forms one of the corners of the constellation Orion.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e651596b98819090bcaf05c7b74555 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.