Triple
T21920114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cage |
E541284
|
entity |
| Predicate | topicOfLyrics |
P136882
|
FINISHED |
| Object | mental health |
—
|
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: mental health | Statement: [Cage, topicOfLyrics, mental health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicOfLyrics Context triple: [Cage, topicOfLyrics, mental health]
-
A.
singsAbout
Indicates that one entity performs a song whose subject or theme is another entity.
-
B.
topicOfDialogue
Indicates that a particular subject or theme is the main focus of a dialogue or conversation between entities.
-
C.
songwritingTheme
chosen
Indicates that one entity serves as the thematic subject or central topic of another entity’s songwriting.
-
D.
genreOfInspiration
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
E.
genreContext
Indicates the contextual genre or categorical style associated with an entity, such as the thematic or stylistic framework in which it is situated.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233af5a481908072c7c928e065ad |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:44 p.m.