Triple
T16879679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Enemy UK |
E421384
|
entity |
| Predicate | usesPoliticalThemes |
P47134
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Public Enemy UK, usesPoliticalThemes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPoliticalThemes Context triple: [Public Enemy UK, usesPoliticalThemes, true]
-
A.
politicalTheme
Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
-
B.
usesPoliticalLabel
Indicates that one entity applies or assigns a specific political label or classification to another entity.
-
C.
usedInPoliticalDiscourse
Indicates that something is employed as a term, concept, or reference within political discussion, debate, or rhetoric.
-
D.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
E.
ideologicalTheme
chosen
Indicates that one entity embodies, expresses, or is centrally concerned with a particular ideology or set of ideological beliefs.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f9aea0819090aef3c0c1ad349d |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.