Triple
T12693430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy King |
E303266
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Brasserie Zédel |
E998192
|
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: Brasserie Zédel | Statement: [Jeremy King, notableWork, Brasserie Zédel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brasserie Zédel Context triple: [Jeremy King, notableWork, Brasserie Zédel]
-
A.
Brasserie Zédel
chosen
Brasserie Zédel is a grand Parisian-style brasserie in central London known for its Art Deco interiors and affordable classic French cuisine.
-
B.
Brasserie Prince
Brasserie Prince is a French-Scottish brasserie-style restaurant located within Edinburgh’s Balmoral Hotel, known for its refined yet relaxed dining.
-
C.
Brasserie Fischer
Brasserie Fischer is a French brewery best known for originally creating the tequila-flavored beer brand Desperados.
-
D.
Brasserie de Mons-en-Barœul
Brasserie de Mons-en-Barœul is a French brewery known for producing a range of beers under the ownership of Heineken France.
-
E.
Brasserie Lipp
Brasserie Lipp is a historic Parisian brasserie renowned as a literary and political meeting place for writers, intellectuals, and politicians.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dbc91c8190bec50797bbd593db |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7c4c608190a1786accf8d86141 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:22 p.m.