Triple
T11324628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ducos |
E268176
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jean Ducos
Jean Ducos was a French politician who served as a deputy during the French Revolution.
|
E1146873
|
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 Ducos | Statement: [Ducos, hasNotableBearer, Jean Ducos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Ducos Context triple: [Ducos, hasNotableBearer, Jean Ducos]
-
A.
Roger Ducos
Roger Ducos was a French politician and member of the Directory who played a transitional role in the final phase of the French Revolution leading up to Napoleon Bonaparte’s rise to power.
-
B.
François Douaren
François Douaren was a 16th-century French jurist and humanist scholar known for his influential contributions to legal humanism and Roman law studies.
-
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.
François Devouassoud
François Devouassoud was a 19th-century French mountain guide and alpinist known for pioneering ascents in the Caucasus and the Alps.
-
E.
Jean-Marie Dreujou
Jean-Marie Dreujou is a French cinematographer known for his visually rich work on films such as "Two Brothers" and other major European productions.
- 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 Ducos Triple: [Ducos, hasNotableBearer, Jean Ducos]
Generated description
Jean Ducos was a French politician who served as a deputy during the French Revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Ducos Target entity description: Jean Ducos was a French politician who served as a deputy during the French Revolution.
-
A.
Roger Ducos
Roger Ducos was a French politician and member of the Directory who played a transitional role in the final phase of the French Revolution leading up to Napoleon Bonaparte’s rise to power.
-
B.
François Douaren
François Douaren was a 16th-century French jurist and humanist scholar known for his influential contributions to legal humanism and Roman law studies.
-
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.
François Devouassoud
François Devouassoud was a 19th-century French mountain guide and alpinist known for pioneering ascents in the Caucasus and the Alps.
-
E.
Jean-Marie Dreujou
Jean-Marie Dreujou is a French cinematographer known for his visually rich work on films such as "Two Brothers" and other major European productions.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5da6a2081909dcc9785598e1196 |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee6b1a29481908c5c945ef801468d |
completed | May 9, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee7b5e3f0819091246455e239996a |
completed | May 9, 2026, 7:52 a.m. |
Created at: April 8, 2026, 9:32 p.m.