Triple
T20342839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hare Krishna maha-mantra |
E495782
|
entity |
| Predicate | chantingStyle |
P69675
|
FINISHED |
| Object | call-and-response kirtan |
—
|
LITERAL 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: call-and-response kirtan | Statement: [Hare Krishna maha-mantra, chantingStyle, call-and-response kirtan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chantingStyle Context triple: [Hare Krishna maha-mantra, chantingStyle, call-and-response kirtan]
-
A.
chantingIs24x7
Indicates that the chanting activity occurs continuously, 24 hours a day, 7 days a week.
-
B.
languageOfChant
Indicates the language in which a chant is performed or expressed.
-
C.
hasChant
Indicates that an entity is associated with or characterized by a particular chant.
-
D.
hasChantStyleHook
chosen
Indicates that something possesses or is associated with a specific chant-style hook as a characteristic or feature.
-
E.
alsoChantedIn
Indicates that a chant, hymn, or recitation is performed or used in an additional context, location, or tradition beyond its primary one.
- F. None of above.
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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67836b72081908be65115abdb37bf |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:24 a.m.