Triple
T13723339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitalism: A Love Story |
E329090
|
entity |
| Predicate | criticalStanceOn |
P78591
|
FINISHED |
| Object | capitalism in the United States |
—
|
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: capitalism in the United States | Statement: [Capitalism: A Love Story, criticalStanceOn, capitalism in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalStanceOn Context triple: [Capitalism: A Love Story, criticalStanceOn, capitalism in the United States]
-
A.
criticalApproach
Indicates that an entity employs an analytical, questioning, or evaluative method toward another entity, concept, or work.
-
B.
criticizesPosition
chosen
Indicates that one entity expresses disapproval of, challenges, or points out flaws in another entity’s stance, viewpoint, or argument.
-
C.
criticalReception
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
-
D.
criticalInterpretation
Indicates that one entity offers an evaluative, analytical, or interpretive commentary on another (such as a text, work, or idea).
-
E.
criticality
Indicates the degree of importance, urgency, or potential impact associated with an entity, condition, or situation 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.