Triple
T13169515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Sylvain |
E312939
|
entity |
| Predicate | componentName |
P5298
|
FINISHED |
| Object | Sylvain |
E712458
|
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: Sylvain | Statement: [Jean-Sylvain, componentName, Sylvain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvain Context triple: [Jean-Sylvain, componentName, Sylvain]
-
A.
Sylvain
chosen
Sylvain is a masculine given name of French origin commonly used in Francophone countries.
-
B.
Christophe
Christophe is a French theoretical physicist and science communicator known for his popular science books and collaborations with Stephen Hawking.
-
C.
Christophe
Christophe is a French surname borne by individuals such as Anne-Athénaïre Christophe.
-
D.
Christophe
Christophe is a masculine given name of Greek origin commonly used in French-speaking countries.
-
E.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2e03c481909909b8f10c7e8ffc |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf92c1881909d387dcf50d8d09f |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.