Triple
T33755016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Liar (Spanish Version) |
E864952
|
entity |
| Predicate | lyricsAdaptationOf |
P110957
|
FINISHED |
| Object | Beautiful Liar |
—
|
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: Beautiful Liar | Statement: [Beautiful Liar (Spanish Version), lyricsAdaptationOf, Beautiful Liar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsAdaptationOf Context triple: [Beautiful Liar (Spanish Version), lyricsAdaptationOf, Beautiful Liar]
-
A.
lyricsAdaptedFrom
chosen
Indicates that the lyrics of one work are derived, adapted, or modified from the lyrics of another pre-existing work.
-
B.
lyricAdaptationBy
Indicates that the lyrics of a work have been adapted, modified, or reinterpreted by a specified agent or creator.
-
C.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
D.
lyricType
Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
-
E.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
- 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.