Triple
T3329715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Of Monsters and Men |
E70003
|
entity |
| Predicate | songTheme |
P7609
|
FINISHED |
| Object | narrative-driven lyrics |
—
|
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: narrative-driven lyrics | Statement: [Of Monsters and Men, songTheme, narrative-driven lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songTheme Context triple: [Of Monsters and Men, songTheme, narrative-driven lyrics]
-
A.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
B.
songType
Indicates the specific category or genre that a given song belongs to.
-
C.
songAbout
Indicates that one entity (typically a song) has content, lyrics, or themes that are focused on, describe, or are dedicated to another entity.
-
D.
songFunction
Indicates the role or purpose a song serves within a larger context, such as a performance, narrative, or musical structure.
-
E.
hasLyricsTheme
chosen
Indicates that the lyrics of a work primarily concern or revolve around a specified theme or subject.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.