Triple
T10415001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You’ll Be Back |
E245491
|
entity |
| Predicate | melodicCharacteristic |
P9125
|
FINISHED |
| Object | catchy melody |
—
|
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: catchy melody | Statement: [You’ll Be Back, melodicCharacteristic, catchy melody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: melodicCharacteristic Context triple: [You’ll Be Back, melodicCharacteristic, catchy melody]
-
A.
melodicContour
Indicates the pattern of pitch movement over time in a musical line, describing how notes rise, fall, or stay level relative to one another.
-
B.
melodicPattern
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
-
C.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
D.
notableSongCharacteristic
chosen
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
E.
tonalCharacteristic
Indicates the specific quality or character of a sound’s tone, such as its color, texture, or expressive nuance, in relation to an entity.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0f7d188190a60a7c3832c51515 |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:10 p.m.