Triple
T2578066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essays in Biography |
E57022
|
entity |
| Predicate | fieldOfWorkOfAuthor |
P3
|
FINISHED |
| Object | economics |
—
|
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: economics | Statement: [Essays in Biography, fieldOfWorkOfAuthor, economics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfWorkOfAuthor Context triple: [Essays in Biography, fieldOfWorkOfAuthor, economics]
-
A.
fieldOfWork
chosen
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
B.
subjectOfWork
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
-
C.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
D.
fieldOfPublication
Indicates the academic or topical area in which a work is published.
-
E.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a86f9881908df29a7caaf9a7df |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.