Triple
T18140072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte for Ever |
E434236
|
entity |
| Predicate | hasControversialThemes |
P81772
|
FINISHED |
| Object | sexual themes |
—
|
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: sexual themes | Statement: [Charlotte for Ever, hasControversialThemes, sexual themes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasControversialThemes Context triple: [Charlotte for Ever, hasControversialThemes, sexual themes]
-
A.
hasControversialAspect
chosen
Indicates that something includes an element, feature, or aspect that is disputed, debated, or likely to cause disagreement or public criticism.
-
B.
controversialBecause
Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
-
C.
hasControversialLyrics
Indicates that the lyrics associated with an entity are considered contentious, offensive, or likely to provoke public disagreement or debate.
-
D.
controversialWork
Indicates that a work is the subject of significant public disagreement, debate, or dispute regarding its content, impact, or acceptability.
-
E.
controversialStatus
Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.