Triple
T2408657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Salm |
E50334
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Pierre Rousseau
Pierre Rousseau was an 18th-century French architect noted for his neoclassical designs in Paris.
|
E396814
|
NE FINISHED |
How this triple was built (4 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: Pierre Rousseau | Statement: [Hôtel de Salm, architect, Pierre Rousseau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Rousseau Context triple: [Hôtel de Salm, architect, Pierre Rousseau]
-
A.
Pierre Parat
Pierre Parat was a prominent French architect known for his influential modernist designs and recognition by major national architecture awards.
-
B.
Jules Bourard
Jules Bourard was a French architect best known for designing the iconic Notre-Dame Cathedral Basilica in Saigon (Ho Chi Minh City), Vietnam.
-
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.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
E.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pierre Rousseau Triple: [Hôtel de Salm, architect, Pierre Rousseau]
Generated description
Pierre Rousseau was an 18th-century French architect noted for his neoclassical designs in Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pierre Rousseau Target entity description: Pierre Rousseau was an 18th-century French architect noted for his neoclassical designs in Paris.
-
A.
Pierre Parat
Pierre Parat was a prominent French architect known for his influential modernist designs and recognition by major national architecture awards.
-
B.
Jules Bourard
Jules Bourard was a French architect best known for designing the iconic Notre-Dame Cathedral Basilica in Saigon (Ho Chi Minh City), Vietnam.
-
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.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
E.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
- F. None of above. chosen
Provenance (5 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc92408308190ad2d331ebee71d15 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c512b108190b08245662695b8ca |
completed | March 14, 2026, 8:29 a.m. |
| NEDg | Description generation | batch_69b51cd116d08190beeb1cd8e9d05468 |
completed | March 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51d865f20819095418bd080ce2bb4 |
completed | March 14, 2026, 8:34 a.m. |
Created at: March 4, 2026, 7:58 p.m.