Triple
T8786146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Your Eyes |
E209046
|
entity |
| Predicate | usesWorldMusicElements |
P85370
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [In Your Eyes, usesWorldMusicElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWorldMusicElements Context triple: [In Your Eyes, usesWorldMusicElements, true]
-
A.
usesMusicalElement
Indicates that one entity employs or incorporates a particular musical element (such as rhythm, melody, harmony, or timbre) in its composition, performance, or structure.
-
B.
usesMusicEnsemble
Indicates that one entity employs or incorporates a particular music ensemble in carrying out an action, function, or production.
-
C.
usesMusicalSystem
Indicates that one entity employs or operates according to a particular musical system, framework, or set of musical rules.
-
D.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
E.
includesInstruments
Indicates that one entity contains, involves, or makes use of one or more instruments as part of its composition or execution.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f758d348190804942d985f2337c |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:42 p.m.