Triple
T18962141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pretender |
E463937
|
entity |
| Predicate | featuresPoliticalOvertones |
P31282
|
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: [The Pretender, featuresPoliticalOvertones, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPoliticalOvertones Context triple: [The Pretender, featuresPoliticalOvertones, true]
-
A.
featuresReversedPoliticsFrom
Indicates that one entity presents or embodies political views or alignments that are the opposite or inverse of those associated with another entity.
-
B.
isPoliticalHub
Indicates that a place or entity serves as a central location or focal point for political activity, organization, or influence.
-
C.
politicalTheme
chosen
Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
-
D.
currentPoliticalTrend
Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
-
E.
politicalSpectrumCoverage
Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d368488190b0c7489335e5dd91 |
completed | April 20, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon