Triple
T34122715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joost-Pieter Katoen |
E875186
|
entity |
| Predicate | editorialBoardMemberOf |
P178422
|
FINISHED |
| Object | Formal Methods in System Design |
—
|
NE NERFINISHED |
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: Formal Methods in System Design | Statement: [Joost-Pieter Katoen, editorialBoardMemberOf, Formal Methods in System Design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorialBoardMemberOf Context triple: [Joost-Pieter Katoen, editorialBoardMemberOf, Formal Methods in System Design]
-
A.
hasEditorialBoard
Indicates that an entity (such as a publication or journal) is overseen or governed by a specific editorial board.
-
B.
editorAffiliation
Indicates that an editor is affiliated with, or belongs to, a particular organization or institution.
-
C.
isFacultyMemberOf
Indicates that a person serves as a faculty member (e.g., professor, lecturer, or instructor) within a particular institution or organizational unit.
-
D.
subjectAffiliation
Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
-
E.
publisherOfWorkAboutSubject
Indicates that an entity is the publisher of a work whose content is about a specified subject.
- F. None of above. chosen
Provenance (4 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_69f349a9271c81909576994c9ef7b179 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:53 a.m.