Triple
T19319862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCormick Institute Professor at Northwestern University |
E483191
|
entity |
| Predicate | fieldOfWorkOfTitleHolder |
P3
|
FINISHED |
| Object | structural engineering |
—
|
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: structural engineering | Statement: [McCormick Institute Professor at Northwestern University, fieldOfWorkOfTitleHolder, structural engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfWorkOfTitleHolder Context triple: [McCormick Institute Professor at Northwestern University, fieldOfWorkOfTitleHolder, structural engineering]
-
A.
fieldOfWork
chosen
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
B.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
-
C.
workIsPartOf
Indicates that one work is a component, section, or subset of a larger work.
-
D.
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.
-
E.
keyWorkOf
Indicates that the subject is a central, defining, or most important work created by the object (such as an artist, author, or creator).
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d87a0088190a60201b1f388089e |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.