Triple
T21147986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voice of the Unseen |
E521109
|
entity |
| Predicate | mayBeInterpretedAs |
P4529
|
FINISHED |
| Object | voice of the divine |
—
|
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: voice of the divine | Statement: [Voice of the Unseen, mayBeInterpretedAs, voice of the divine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeInterpretedAs Context triple: [Voice of the Unseen, mayBeInterpretedAs, voice of the divine]
-
A.
isInterpretableIn
Indicates that one formal system, language, or theory can be meaningfully represented, understood, or given a semantics within another system, language, or theory.
-
B.
interpretedAs
chosen
Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
-
C.
isInterpretedBy
Indicates that something (such as data, a work, or a signal) is given meaning, understanding, or explanation by a particular agent or process.
-
D.
isInterpretedDifferentlyIn
Indicates that the same item, event, or expression is understood or construed in a different way within a specified context, group, or setting.
-
E.
areInterpretedInPracticeBy
Indicates that something (such as a rule, concept, or specification) is given concrete meaning or applied in real-world situations by a particular agent or group.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fe9da88190b65c370b1efcbb96 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:58 p.m.