Triple
T18529886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabien Potencier |
E452805
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object | fabpot |
—
|
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: fabpot | Statement: [Fabien Potencier, twitterUsername, fabpot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fabpot Context triple: [Fabien Potencier, twitterUsername, fabpot]
-
A.
fabpot
chosen
fabpot is the GitHub username of Fabien Potencier, a French software developer best known as the creator of the Symfony PHP framework and CEO of SensioLabs.
-
B.
SensioLabs
SensioLabs is a French software company best known for creating and maintaining the Symfony PHP framework and providing related consulting, training, and support services.
-
C.
Symfony
Symfony is a popular open-source PHP framework used for building scalable, high-performance web applications and reusable components.
-
D.
SymfonyCon
SymfonyCon is an official international conference that brings together the Symfony PHP framework community for talks, workshops, and networking.
-
E.
Symfony Flex
Symfony Flex is a modern dependency management and automation tool for Symfony applications that streamlines installing, configuring, and updating bundles and packages.
- 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.