Triple
T38229375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hate My Heart |
E1012240
|
entity |
| Predicate | lyricEmotion |
P144118
|
FINISHED |
| Object | anger |
—
|
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: anger | Statement: [Hate My Heart, lyricEmotion, anger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricEmotion Context triple: [Hate My Heart, lyricEmotion, anger]
-
A.
lyricalMood
Indicates the prevailing emotional tone or atmosphere conveyed through lyrics or vocal expression in a piece of music.
-
B.
lyricExpresses
chosen
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
C.
lyricCharacterization
Indicates how the lyrics portray, describe, or characterize a subject within a song or musical work.
-
D.
lyricText
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
E.
lyricalMotive
Indicates a recurring musical or textual idea that serves as a unifying expressive element within a lyrical or vocal work.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:30 p.m.