Triple
T28910685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel (song) |
E733216
|
entity |
| Predicate | hasMelodicInterpolationFrom |
P187181
|
FINISHED |
| Object | The Joker (song) |
—
|
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: The Joker (song) | Statement: [Angel (song), hasMelodicInterpolationFrom, The Joker (song)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMelodicInterpolationFrom Context triple: [Angel (song), hasMelodicInterpolationFrom, The Joker (song)]
-
A.
melodicInterpolationOf
chosen
Indicates a relationship where one melodic segment serves as an intermediate or connecting transformation between two other melodic segments.
-
B.
hasMelodicRange
Indicates that a musical piece, phrase, or part spans a specific interval between its lowest and highest pitches.
-
C.
isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
-
D.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
E.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 28, 2026, 8:11 a.m.