Triple
T327847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palais des Nations |
E6558
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Henri-Paul Nénot |
E24557
|
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: Henri-Paul Nénot | Statement: [Palais des Nations, architect, Henri-Paul Nénot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri-Paul Nénot Context triple: [Palais des Nations, architect, Henri-Paul Nénot]
-
A.
Georges André
Georges André was a French athlete best known for taking the Olympic Oath at the 1924 Summer Olympics in Paris.
-
B.
Émile Nouguier
Émile Nouguier was a French civil engineer best known as one of the principal designers of the Eiffel Tower.
-
C.
Théodore Maunoir
Théodore Maunoir was a Swiss physician and humanitarian who was one of the key co-founders of the International Committee of the Red Cross in the 19th century.
-
D.
Louis Marie Cordonnier
chosen
Louis Marie Cordonnier was a prominent French architect known for his influential Beaux-Arts and regionalist designs in the late 19th and early 20th centuries.
-
E.
Jean-Paul Agon
Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea98fa2c8190a5b44f4a26543a17 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe8dde4c8190bd897e5251eb6941 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.