Triple
T2805410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sébastien Jodogne |
E54040
|
entity |
| Predicate | softwareEngineeringRole |
P13609
|
FINISHED |
| Object | architect of Orthanc platform |
—
|
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: architect of Orthanc platform | Statement: [Sébastien Jodogne, softwareEngineeringRole, architect of Orthanc platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareEngineeringRole Context triple: [Sébastien Jodogne, softwareEngineeringRole, architect of Orthanc platform]
-
A.
developmentRole
chosen
Indicates that an entity participates in the creation, design, or production of another entity in a specific developmental capacity or function.
-
B.
technologyRole
Indicates the functional role or purpose that a technology plays within a system, process, or context.
-
C.
developerOccupation
Indicates that an entity works in a developer role or profession, such as software or application development.
-
D.
softwareDomain
Indicates that something belongs to, operates within, or is associated with a particular area or field of software.
-
E.
softwareExperience
Indicates the level or extent of a person's prior experience working with or using specific software.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde2ec2ac8190bd702ad3eafb6aed |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd059f308190853191f6ffe2bc6f |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.