Triple
T27050550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Hear Music |
E684756
|
entity |
| Predicate | isFrequentlyInterpretedBy |
P144058
|
FINISHED |
| Object | improvising musicians |
—
|
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: improvising musicians | Statement: [I Hear Music, isFrequentlyInterpretedBy, improvising musicians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyInterpretedBy Context triple: [I Hear Music, isFrequentlyInterpretedBy, improvising musicians]
-
A.
frequentlyInterpretedBy
chosen
Indicates that an entity is often or regularly interpreted, explained, or given meaning by a particular agent or group.
-
B.
isFrequentlyInterpreted
Indicates that something is often understood, explained, or given meaning in a particular way or through repeated acts of interpretation.
-
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.
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.
-
E.
languageOfInterpretation
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622afb8e48190b34997741094ec68 |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:13 a.m.