Triple
T10205524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léonard Lipp |
E242181
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Léonard Lipp |
E242181
|
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: Léonard Lipp | Statement: [Léonard Lipp, name, Léonard Lipp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léonard Lipp Context triple: [Léonard Lipp, name, Léonard Lipp]
-
A.
Léonard Lipp
chosen
Léonard Lipp was the founder of the famed Parisian brasserie Brasserie Lipp, a historic literary and political meeting place in Saint-Germain-des-Prés.
-
B.
Pierre Schill
Pierre Schill is a senior French military officer who serves as the professional head of the French Army.
-
C.
Franz Lefort
Franz Lefort was a Genevan-born Russian admiral and close advisor to Tsar Peter the Great, noted for his key role in modernizing the Russian military and diplomacy in the late 17th century.
-
D.
Boris Dilliès
Boris Dilliès is a Belgian politician known for serving as the mayor of the Brussels municipality of Uccle.
-
E.
Pierre Batcheff
Pierre Batcheff was a French silent film actor best known for his leading role in Luis Buñuel and Salvador Dalí’s surrealist classic "Un Chien Andalou."
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f6298c8190a4a0ad9770f10e80 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652b489608190b844e1199e6126ce |
completed | April 8, 2026, 1:05 p.m. |
Created at: April 6, 2026, 10:47 a.m.