Triple
T6458993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques-Germain Soufflot |
E142067
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jacques-Germain
Jacques-Germain was an 18th-century French architect best known for designing the Panthéon in Paris.
|
E595280
|
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: Jacques-Germain | Statement: [Jacques-Germain Soufflot, givenName, Jacques-Germain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacques-Germain Context triple: [Jacques-Germain Soufflot, givenName, Jacques-Germain]
-
A.
Jacques-François
Jacques-François is the given name of Jacques-François Menou, a French general who served during the French Revolutionary period and in Napoleon’s Egyptian campaign.
-
B.
Jacques François
Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
-
C.
Jacques-Pierre
Jacques-Pierre is the given name of Jacques-Pierre Brissot, a prominent French revolutionary leader and journalist during the French Revolution.
-
D.
Jean-François
Jean-François is the given name of Jean-François de La Clue-Sabran, an 18th-century French naval officer and admiral.
-
E.
Ange-Jacques
Ange-Jacques is a French neoclassical architect best known for designing major Parisian landmarks such as the Place de la Concorde and the Petit Trianon at Versailles.
- 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: Jacques-Germain Triple: [Jacques-Germain Soufflot, givenName, Jacques-Germain]
Generated description
Jacques-Germain was an 18th-century French architect best known for designing the Panthéon in Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacques-Germain Target entity description: Jacques-Germain was an 18th-century French architect best known for designing the Panthéon in Paris.
-
A.
Jacques-François
Jacques-François is the given name of Jacques-François Menou, a French general who served during the French Revolutionary period and in Napoleon’s Egyptian campaign.
-
B.
Jacques François
Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
-
C.
Jacques-Pierre
Jacques-Pierre is the given name of Jacques-Pierre Brissot, a prominent French revolutionary leader and journalist during the French Revolution.
-
D.
Jean-François
Jean-François is the given name of Jean-François de La Clue-Sabran, an 18th-century French naval officer and admiral.
-
E.
Ange-Jacques
Ange-Jacques is a French neoclassical architect best known for designing major Parisian landmarks such as the Place de la Concorde and the Petit Trianon at Versailles.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f347f48190a2b22c5b648b17bd |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653971f988190847187ae60b6eeb5 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c654907e1081908a322bd8ac03cd88 |
completed | March 27, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c654fafcd88190b28d49e9fe264246 |
completed | March 27, 2026, 9:59 a.m. |
Created at: March 22, 2026, 4:48 p.m.