Triple
T15077830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Lefort |
E380051
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lefort
Lefort is a surname most notably associated with Franz Lefort, a 17th-century Genevan-born military officer and close advisor to Russian Tsar Peter the Great.
|
E1135132
|
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: Lefort | Statement: [Franz Lefort, familyName, Lefort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lefort Context triple: [Franz Lefort, familyName, Lefort]
-
A.
Latrille
Latrille is a French surname notably borne by Charles Ferdinand Latrille, Comte de Lorencez, a 19th-century French general.
-
B.
Lefortovo
Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
-
C.
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
-
D.
Lefebvre-Desnouettes
Lefebvre-Desnouettes is a French surname most notably borne by General Charles Lefebvre-Desnouettes, a prominent cavalry commander during the Napoleonic Wars.
-
E.
Belfortt
Belfortt is an alternative spelling or variant form of the name "Belfort," which commonly refers to the French city known for its historic fortifications.
- 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: Lefort Triple: [Franz Lefort, familyName, Lefort]
Generated description
Lefort is a surname most notably associated with Franz Lefort, a 17th-century Genevan-born military officer and close advisor to Russian Tsar Peter the Great.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lefort Target entity description: Lefort is a surname most notably associated with Franz Lefort, a 17th-century Genevan-born military officer and close advisor to Russian Tsar Peter the Great.
-
A.
Latrille
Latrille is a French surname notably borne by Charles Ferdinand Latrille, Comte de Lorencez, a 19th-century French general.
-
B.
Lefortovo
Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
-
C.
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
-
D.
Lefebvre-Desnouettes
Lefebvre-Desnouettes is a French surname most notably borne by General Charles Lefebvre-Desnouettes, a prominent cavalry commander during the Napoleonic Wars.
-
E.
Belfortt
Belfortt is an alternative spelling or variant form of the name "Belfort," which commonly refers to the French city known for its historic fortifications.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5d4f6a48190aeb42341b0c395a7 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea65a34f08190a76965dfee5b89e5 |
completed | May 9, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea6e097bc81909ba468de2673b22e |
completed | May 9, 2026, 3:15 a.m. |
Created at: April 10, 2026, 3:03 a.m.