Triple
T33755025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Liar (Spanish Version) |
E864952
|
entity |
| Predicate | retainsOriginalMelody |
P4543
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Beautiful Liar (Spanish Version), retainsOriginalMelody, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retainsOriginalMelody Context triple: [Beautiful Liar (Spanish Version), retainsOriginalMelody, yes]
-
A.
melodyReusedBy
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
B.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
C.
hasMelody
chosen
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
D.
performsOriginalMusic
Indicates that an entity presents or plays music that it has created itself, rather than covering or reproducing others’ works.
-
E.
originallyInstrumental
Indicates that an entity was initially used as the instrument or means by which an action or effect was brought about, especially when this instrumental role may have changed over time.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.