Triple
T37346474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Muth |
E927188
|
entity |
| Predicate | academicWorkFocusedOn |
P7040
|
FINISHED |
| Object | expectations in economic behavior |
—
|
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: expectations in economic behavior | Statement: [John F. Muth, academicWorkFocusedOn, expectations in economic behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicWorkFocusedOn Context triple: [John F. Muth, academicWorkFocusedOn, expectations in economic behavior]
-
A.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
B.
scholarlyWork
Indicates a relationship where an entity is a formal academic or research work produced, published, or recognized within a scholarly context.
-
C.
subjectOfWork
chosen
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
-
D.
academicOutput
Indicates the scholarly work or research products generated by an individual, group, or institution, such as publications, reports, or other academic contributions.
-
E.
notableWorkFocus
Indicates that a notable work primarily centers on, addresses, or is significantly concerned with a particular subject, theme, or area.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.