Triple
T21867221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth G. Langone |
E539911
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Love Capitalism!: An American Story |
—
|
NE NERFINISHED |
How this triple was built (3 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: I Love Capitalism!: An American Story | Statement: [Kenneth G. Langone, notableWork, I Love Capitalism!: An American Story]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Love Capitalism!: An American Story Context triple: [Kenneth G. Langone, notableWork, I Love Capitalism!: An American Story]
-
A.
Capitalism: A Love Story
Capitalism: A Love Story is a 2009 documentary film by Michael Moore that critically examines the social and economic impacts of capitalism in the United States.
-
B.
Saving Capitalism from the Capitalists
"Saving Capitalism from the Capitalists" is an influential economic book that argues for the importance of well-regulated, inclusive financial markets in sustaining true capitalism and preventing capture by powerful interests.
-
C.
How Capitalism Will Save Us
"How Capitalism Will Save Us" is a book by Steve Forbes that argues free-market capitalism is the most effective system for promoting prosperity, innovation, and individual freedom.
-
D.
The Politically Incorrect Guide to Capitalism
The Politically Incorrect Guide to Capitalism is a popular economics book by Robert P. Murphy that defends free-market capitalism and challenges common criticisms of the system.
-
E.
23 Things They Don’t Tell You About Capitalism
23 Things They Don’t Tell You About Capitalism is a popular economics book by Ha-Joon Chang that challenges mainstream free-market assumptions through accessible, myth-busting essays.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Love Capitalism!: An American Story Target entity description: I Love Capitalism!: An American Story is a memoir by billionaire businessman and Home Depot co-founder Kenneth G. Langone, recounting his rise from humble beginnings and defending free-market capitalism.
-
A.
Capitalism: A Love Story
Capitalism: A Love Story is a 2009 documentary film by Michael Moore that critically examines the social and economic impacts of capitalism in the United States.
-
B.
Saving Capitalism from the Capitalists
"Saving Capitalism from the Capitalists" is an influential economic book that argues for the importance of well-regulated, inclusive financial markets in sustaining true capitalism and preventing capture by powerful interests.
-
C.
How Capitalism Will Save Us
"How Capitalism Will Save Us" is a book by Steve Forbes that argues free-market capitalism is the most effective system for promoting prosperity, innovation, and individual freedom.
-
D.
The Politically Incorrect Guide to Capitalism
The Politically Incorrect Guide to Capitalism is a popular economics book by Robert P. Murphy that defends free-market capitalism and challenges common criticisms of the system.
-
E.
23 Things They Don’t Tell You About Capitalism
23 Things They Don’t Tell You About Capitalism is a popular economics book by Ha-Joon Chang that challenges mainstream free-market assumptions through accessible, myth-busting essays.
- F. None of above. chosen
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f331c55c8190b73cb5aec3378a9e |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.