Triple
T28923537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna: Live to Tell (music video) |
E733582
|
entity |
| Predicate | lyricEmphasis |
P25938
|
FINISHED |
| Object | themes of truth and concealment |
—
|
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: themes of truth and concealment | Statement: [Madonna: Live to Tell (music video), lyricEmphasis, themes of truth and concealment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricEmphasis Context triple: [Madonna: Live to Tell (music video), lyricEmphasis, themes of truth and concealment]
-
A.
lyricFocus
chosen
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
B.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
C.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
D.
lyricCharacterization
Indicates how the lyrics portray, describe, or characterize a subject within a song or musical work.
-
E.
musicPeriodEmphasized
Indicates that a particular musical period or era is given special focus, prominence, or importance in relation to 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b1d1c688190b035919575bb2164 |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:21 a.m.