Triple
T21992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autobiography of Andrew Carnegie |
E437
|
entity |
| Predicate | documents |
P450
|
FINISHED |
| Object | Carnegie's rise from poverty |
—
|
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: Carnegie's rise from poverty | Statement: [Autobiography of Andrew Carnegie, documents, Carnegie's rise from poverty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documents Context triple: [Autobiography of Andrew Carnegie, documents, Carnegie's rise from poverty]
-
A.
foundingDocument
Indicates that one entity serves as the official charter, constitution, or primary legal/organizational document that establishes or defines the other entity.
-
B.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
C.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
D.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
E.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246e94ca881908f7a7d2c0b293033 |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24654724481909ba14b7f68d2a472 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.