Triple
T11407056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Boufflers |
E270264
|
entity |
| Predicate | hasSurnameForm |
P18
|
FINISHED |
| Object | Boufflers |
E55809
|
NE FINISHED |
How this triple was built (2 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: Boufflers | Statement: [de Boufflers, hasSurnameForm, Boufflers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boufflers Context triple: [de Boufflers, hasSurnameForm, Boufflers]
-
A.
Grenadiers
The Grenadiers are the athletic teams representing Elk Grove High School.
-
B.
Survilliers
Survilliers is a commune in the Val-d'Oise department in northern France, known historically for lending its name to the noble title "Count of Survilliers."
-
C.
Bourbon-Vendôme
Bourbon-Vendôme was a cadet branch of the French royal House of Bourbon that produced several prominent nobles and ultimately the first Bourbon king of France, Henry IV.
-
D.
Marshal Boufflers
chosen
Marshal Boufflers was a prominent French general and marshal of France under Louis XIV, noted for his skilled defensive leadership in major late 17th-century European conflicts.
-
E.
Foucher
Foucher is a French surname most notably borne by Adèle Foucher, the wife of writer Victor Hugo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d6eea4c81908319a590d2d9e177 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:34 p.m.