Triple
T33293366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moody's Mood |
E852374
|
entity |
| Predicate | vocaleseTechnique |
P180675
|
FINISHED |
| Object | lyrics set to improvised saxophone solo |
—
|
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: lyrics set to improvised saxophone solo | Statement: [Moody's Mood, vocaleseTechnique, lyrics set to improvised saxophone solo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocaleseTechnique Context triple: [Moody's Mood, vocaleseTechnique, lyrics set to improvised saxophone solo]
-
A.
vocal
Indicates that an entity produces or is characterized by audible sounds, speech, or vocalizations.
-
B.
vocalForm
Indicates the specific vocal or phonetic form in which something (such as a word, sound, or utterance) is expressed.
-
C.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
D.
vocalTraining
Indicates that one entity provides or engages in training aimed at improving another entity’s vocal or singing abilities.
-
E.
vocalization
Indicates the act or manner of producing sounds or calls, typically as a means of communication.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: May 1, 2026, 1:33 a.m.