Triple
T30596834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vishanti |
E778809
|
entity |
| Predicate | languageOfInvocation |
P199211
|
FINISHED |
| Object | Mystic incantations |
—
|
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: Mystic incantations | Statement: [Vishanti, languageOfInvocation, Mystic incantations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfInvocation Context triple: [Vishanti, languageOfInvocation, Mystic incantations]
-
A.
languageOfInterpretation
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
-
B.
languageOfOperation
Indicates the language in which an entity (such as a system, service, or process) primarily operates or functions.
-
C.
languageOfInstructions
Indicates that one entity specifies the language in which instructions or guidance are provided for another entity.
-
D.
derivationLanguage
Indicates the language from which something (such as a word, term, or expression) is derived.
-
E.
languageOfCode
Indicates that a programming code artifact is written in, or uses, a particular programming language.
- F. None of above. chosen
Provenance (4 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
| PDg | Predicate description generation | batch_69ff263632608190a99beb73608066d8 |
completed | May 9, 2026, 12:19 p.m. |
Created at: April 29, 2026, 8:24 p.m.