Triple
T15174365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Louis Forain |
E362566
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jean-Louis |
E1045953
|
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: Jean-Louis | Statement: [Jean-Louis Forain, givenName, Jean-Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Louis Context triple: [Jean-Louis Forain, givenName, Jean-Louis]
-
A.
Jean-Louis
Jean-Louis is the given first name of the French Romantic painter Théodore Géricault, renowned for works such as "The Raft of the Medusa."
-
B.
Jean-Louis
Jean-Louis is the introspective, morally conflicted Catholic engineer who serves as the central protagonist in Éric Rohmer’s film "My Night at Maud’s."
-
C.
Jean-Louis
chosen
Jean-Louis is a French masculine given name commonly used as a compound first name.
-
D.
Jean-Louis
Jean-Louis is the birth name of American novelist and Beat Generation icon Jack Kerouac.
-
E.
Jean Louis
Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0066236d481909e8ac47f496861ad |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88e7ff481909e3d2b280689aeba |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.