Triple
T18399959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramahamsa |
E449965
|
entity |
| Predicate | usedAsTitleFor |
P5175
|
FINISHED |
| Object | sannyasi |
—
|
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: sannyasi | Statement: [Paramahamsa, usedAsTitleFor, sannyasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sannyasi Context triple: [Paramahamsa, usedAsTitleFor, sannyasi]
-
A.
Sadhu
chosen
A sadhu is a Hindu holy person or ascetic who renounces worldly life to pursue spiritual liberation through meditation, austerity, and devotion.
-
B.
Swami
Swami is an Indian film written by Girish Karnad that explores complex human relationships and social realities.
-
C.
Swami
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
-
D.
Satguru
Satguru is the spiritual head and supreme religious leader of the Namdhari Sikh community.
-
E.
Sanananda
Sanananda is a village on the northern coast of Papua New Guinea that was a key World War II battleground during the New Guinea campaign.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5194f2a8c8190afcd7db23e3795fb |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.