Triple
T18529865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabien Potencier |
E452805
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Silex |
—
|
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: Silex | Statement: [Fabien Potencier, creatorOf, Silex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silex Context triple: [Fabien Potencier, creatorOf, Silex]
-
A.
Silex
chosen
Silex is a lightweight PHP microframework used for building small, fast web applications and APIs.
-
B.
Dolomieu
Dolomieu is a commune in the Isère department of southeastern France, known as the birthplace of mathematician Élie Cartan.
-
C.
Aue
Aue is a town in the Ore Mountains region of Saxony, Germany, known historically for its mining industry and role as a local transport hub.
-
D.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
E.
Marosillye
Marosillye is a historical settlement in Transylvania, known as the birthplace of the 17th-century Prince of Transylvania, Gabriel Bethlen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fb940c81909d4ad9fc37f47829 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.