Triple
T23072912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Power of the Powerless |
E575242
|
entity |
| Predicate | notableFigureInText |
P131218
|
FINISHED |
| Object | the greengrocer |
—
|
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: the greengrocer | Statement: [The Power of the Powerless, notableFigureInText, the greengrocer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFigureInText Context triple: [The Power of the Powerless, notableFigureInText, the greengrocer]
-
A.
notableFigureFeatured
chosen
Indicates that a notable or prominent individual is highlighted, showcased, or given special attention in the associated context or medium.
-
B.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
-
C.
notableAuthorMention
Indicates that a notable or well-known author is referenced or cited in relation to the subject.
-
D.
notableText
Indicates that a particular piece of text is especially significant, prominent, or worthy of attention in relation to the associated entity or context.
-
E.
notablePublicFigure
Indicates that the subject is widely recognized and holds a significant public profile or influence in society.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c60fa6c81908496f181c7d62033 |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:56 p.m.