Triple
T23389599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Jensen |
E593974
|
entity |
| Predicate | memorableQuoteTheme |
P77372
|
FINISHED |
| Object | there are no nations, only corporations |
—
|
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: there are no nations, only corporations | Statement: [Arthur Jensen, memorableQuoteTheme, there are no nations, only corporations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorableQuoteTheme Context triple: [Arthur Jensen, memorableQuoteTheme, there are no nations, only corporations]
-
A.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
-
B.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
C.
motivationalTheme
chosen
Indicates a recurring motivational idea, message, or emotional driver that underlies or inspires an entity’s actions or presentation.
-
D.
quotesMelody
Indicates that one musical passage reproduces or closely imitates the melody of another.
-
E.
quoteType
Indicates the specific category or classification of a quotation, such as its style, purpose, or contextual role in discourse.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:35 p.m.