Triple
T4760838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggaeton |
E105692
|
entity |
| Predicate | hasSubcultureDebate |
P58364
|
FINISHED |
| Object | criticized for explicit 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: criticized for explicit lyrics | Statement: [Reggaeton, hasSubcultureDebate, criticized for explicit lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubcultureDebate Context triple: [Reggaeton, hasSubcultureDebate, criticized for explicit lyrics]
-
A.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
B.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
C.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
D.
hasDebatedScope
Indicates that there is an ongoing or unresolved discussion about the extent, boundaries, or applicability of the relationship or action in question.
-
E.
partOfDebate
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
- F. None of above. chosen
Provenance (4 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650eefe08190b99f9f01b121dbfd |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:20 p.m.