Triple
T12534625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orthanc |
E299654
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Sébastien Jodogne |
E54040
|
NE 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: Sébastien Jodogne | Statement: [Orthanc, developedBy, Sébastien Jodogne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sébastien Jodogne Context triple: [Orthanc, developedBy, Sébastien Jodogne]
-
A.
Sébastien Jodogne
chosen
Sébastien Jodogne is a free software developer best known for creating the open-source medical imaging platform Orthanc and for his significant contributions to open healthcare technologies.
-
B.
Julien De Smedt
Julien De Smedt is a Belgian architect known for his innovative and sculptural contemporary designs, often created through his firm JDS Architects.
-
C.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
-
D.
Cedric Boeckx
Cedric Boeckx is a linguist known for his work in generative grammar and biolinguistics, particularly on the nature of syntactic structures and their cognitive foundations.
-
E.
Ben Weyts
Ben Weyts is a Belgian politician from Flanders who has served in prominent roles within the Flemish government, particularly in areas such as education and mobility.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546d3b2081908d3e0659f8f13678 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c6a590881908b0fe779f3698ea2 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.