Triple
T7670121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tivoli Park |
E173725
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Jean Blanchard
Jean Blanchard was an architect known for designing Tivoli Park.
|
E681058
|
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: Jean Blanchard | Statement: [Tivoli Park, architect, Jean Blanchard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Blanchard Context triple: [Tivoli Park, architect, Jean Blanchard]
-
A.
Jean-Baptiste Marchand
Jean-Baptiste Marchand was a French military officer and explorer best known for leading the French expedition to Fashoda in 1898, a key episode in the imperial rivalry between France and Britain in Africa.
-
B.
Alexandre Antoine Davy de la Pailleterie
Alexandre Antoine Davy de la Pailleterie was a French nobleman and military officer best known as the aristocratic father of General Thomas-Alexandre Dumas and grandfather of novelist Alexandre Dumas.
-
C.
Urbain Durand
Urbain Durand was a French Jesuit missionary known for his work in China during the 18th century.
-
D.
Robert Pigot
Robert Pigot was a British Army officer best known for his role as a commanding officer during the early battles of the American Revolutionary War.
-
E.
Charles Dupin
Charles Dupin was a 19th-century French mathematician, engineer, and economist known for his work in geometry, cartography, and social statistics.
- 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: Jean Blanchard Triple: [Tivoli Park, architect, Jean Blanchard]
Generated description
Jean Blanchard was an architect known for designing Tivoli Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Blanchard Target entity description: Jean Blanchard was an architect known for designing Tivoli Park.
-
A.
Jean-Baptiste Marchand
Jean-Baptiste Marchand was a French military officer and explorer best known for leading the French expedition to Fashoda in 1898, a key episode in the imperial rivalry between France and Britain in Africa.
-
B.
Alexandre Antoine Davy de la Pailleterie
Alexandre Antoine Davy de la Pailleterie was a French nobleman and military officer best known as the aristocratic father of General Thomas-Alexandre Dumas and grandfather of novelist Alexandre Dumas.
-
C.
Urbain Durand
Urbain Durand was a French Jesuit missionary known for his work in China during the 18th century.
-
D.
Robert Pigot
Robert Pigot was a British Army officer best known for his role as a commanding officer during the early battles of the American Revolutionary War.
-
E.
Charles Dupin
Charles Dupin was a 19th-century French mathematician, engineer, and economist known for his work in geometry, cartography, and social statistics.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c5538881908139881daf41151a |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22442dc8190a26c966e7b06f1a9 |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a2ed6a7c8190b5445d8dfd10166d |
completed | March 29, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3937dd08190a1f9e589185a0f93 |
completed | March 29, 2026, 3:59 a.m. |
Created at: March 27, 2026, 4 p.m.