Triple
T4201637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Brienne |
E86078
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | François Debias-Aubry |
E203193
|
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: François Debias-Aubry | Statement: [Hôtel de Brienne, architect, François Debias-Aubry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: François Debias-Aubry Context triple: [Hôtel de Brienne, architect, François Debias-Aubry]
-
A.
François Debias-Aubry
chosen
François Debias-Aubry was a French architect known for his work on the Hôtel de Brienne in Paris.
-
B.
Christian Bérard
Christian Bérard was a French artist and theatrical designer renowned for his influential set and costume designs in ballet, theater, and film in the early 20th century.
-
C.
Louis Boisot
Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
-
D.
Daniel Pomarède
Daniel Pomarède is a French astrophysicist known for his work in cosmography and for helping map and characterize large-scale structures of the universe, including major galaxy superclusters.
-
E.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70ad71194819081361abadfc256ca |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 9, 2026, 3:49 p.m.