Triple
T20379726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Jacques Lagrenée |
E497790
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jean-Jacques |
—
|
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: Jean-Jacques | Statement: [Jean-Jacques Lagrenée, givenName, Jean-Jacques]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Jacques Context triple: [Jean-Jacques Lagrenée, givenName, Jean-Jacques]
-
A.
Jean-Jacques
chosen
Jean-Jacques is the given name of Jean-Jacques Goldman, a renowned French singer-songwriter and music producer.
-
B.
Jean-Jacques-Régis
Jean-Jacques-Régis is the given name of Jean-Jacques-Régis de Cambacérès, a prominent French statesman and jurist during the French Revolution and Napoleonic era.
-
C.
Francois Rousselet
François Rousselet is a French music video and commercial director known for his visually striking work with major international artists and brands.
-
D.
Jean-Baptiste Rousseau
Jean-Baptiste Rousseau was a French architect known for his work on prominent Parisian monuments in the late 18th and early 19th centuries.
-
E.
Jean-Baptiste Rousseau
Jean-Baptiste Rousseau was a French poet and dramatist of the late 17th and early 18th centuries, best known for his lyrical and satirical verse.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b026e081909541e545886c8380 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.