Triple
T21265822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand Serlet |
E524123
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bertrand Serlet |
—
|
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: Bertrand Serlet | Statement: [Bertrand Serlet, name, Bertrand Serlet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertrand Serlet Context triple: [Bertrand Serlet, name, Bertrand Serlet]
-
A.
Bertrand Serlet
chosen
Bertrand Serlet is a French software engineer best known for his leadership role in developing macOS at Apple after previously working on NeXTSTEP with Steve Jobs.
-
B.
Sylvain Coudret
Sylvain Coudret is a French guitarist best known as a member of the Swedish melodic death metal band Soilwork.
-
C.
Frédéric Boissonnas
Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
-
D.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
-
E.
Pierre Sermanet
Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ebe09081909f74301e91b4d3d7 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 4 p.m.