Triple
T33267089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Be Right There |
E851680
|
entity |
| Predicate | samplesVocalMelodyFrom |
P121092
|
FINISHED |
| Object | Don't Walk Away |
—
|
NE NERFINISHED |
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: Don't Walk Away | Statement: [Be Right There, samplesVocalMelodyFrom, Don't Walk Away]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplesVocalMelodyFrom Context triple: [Be Right There, samplesVocalMelodyFrom, Don't Walk Away]
-
A.
vocalTraining
Indicates that one entity provides or engages in training aimed at improving another entity’s vocal or singing abilities.
-
B.
usesVocalSamples
chosen
Indicates that one entity incorporates recorded vocal sounds from another source into its own audio or musical production.
-
C.
containsVocalSamplesFrom
Indicates that one audio work includes vocal samples that originate from another audio work.
-
D.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
E.
melodicPattern
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:32 a.m.