Triple
T19338050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlotta Campion |
E483672
|
entity |
| Predicate | themeOfSong |
P4921
|
FINISHED |
| Object | resilience |
—
|
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: resilience | Statement: [Carlotta Campion, themeOfSong, resilience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeOfSong Context triple: [Carlotta Campion, themeOfSong, resilience]
-
A.
albumTheme
Indicates that one entity is the central subject, concept, or motif that thematically unifies the other entity, which is an album.
-
B.
hasLyricsTheme
Indicates that the lyrics of a work primarily concern or revolve around a specified theme or subject.
-
C.
featuresIntrospectiveLyrics
Indicates that the subject contains lyrics characterized by self-reflection, inner thought, or personal emotional examination.
-
D.
hasLyricalTheme
chosen
Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
-
E.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185538d48190ae4fa3ac0b0ca182 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.