Triple
T23006940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garat |
E572798
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Joseph Garat
Joseph Garat was a French politician and lawyer active during the late 18th and early 19th centuries.
|
E1565524
|
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: Joseph Garat | Statement: [Garat, hasNotableBearer, Joseph Garat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Garat Context triple: [Garat, hasNotableBearer, Joseph Garat]
-
A.
Jacques Laffitte
Jacques Laffitte was a prominent French banker and liberal politician who played a key role during the July Monarchy in the early 19th century.
-
B.
Guy Foulquois
Guy Foulquois (also known as Guy Foulques) was a French jurist and politician who served as a member of the European Parliament.
-
C.
Charles Le Maire
Charles Le Maire was an American costume designer renowned for his work on numerous Hollywood films from the 1930s to the 1950s, earning multiple Academy Awards for his contributions.
-
D.
Guillaume Thomas Taraval
Guillaume Thomas Taraval was an 18th-century French-born painter who became a key figure in Swedish art, notably helping to establish academic art education in Sweden.
-
E.
Albert Galleron
Albert Galleron was a French architect best known for designing the iconic Romanian Athenaeum concert hall in Bucharest.
- 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: Joseph Garat Triple: [Garat, hasNotableBearer, Joseph Garat]
Generated description
Joseph Garat was a French politician and lawyer active during the late 18th and early 19th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph Garat Target entity description: Joseph Garat was a French politician and lawyer active during the late 18th and early 19th centuries.
-
A.
Jacques Laffitte
Jacques Laffitte was a prominent French banker and liberal politician who played a key role during the July Monarchy in the early 19th century.
-
B.
Guy Foulquois
Guy Foulquois (also known as Guy Foulques) was a French jurist and politician who served as a member of the European Parliament.
-
C.
Charles Le Maire
Charles Le Maire was an American costume designer renowned for his work on numerous Hollywood films from the 1930s to the 1950s, earning multiple Academy Awards for his contributions.
-
D.
Guillaume Thomas Taraval
Guillaume Thomas Taraval was an 18th-century French-born painter who became a key figure in Swedish art, notably helping to establish academic art education in Sweden.
-
E.
Albert Galleron
Albert Galleron was a French architect best known for designing the iconic Romanian Athenaeum concert hall in Bucharest.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835706dc8190b3f9743c0f336bb2 |
completed | April 29, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd385ef8c819080fe1121a050dbe1 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd780bf048190be000d6b01b7a69e |
completed | May 19, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd80b76248190b3878e6f6992db25 |
completed | May 19, 2026, 3:24 a.m. |
Created at: April 17, 2026, 3:51 p.m.