Triple
T18004413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Bleschamp |
E430707
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | root "Bleschamp" |
—
|
NE NERFINISHED |
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: root "Bleschamp" | Statement: [de Bleschamp, hasComponent, root "Bleschamp"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: root "Bleschamp" Context triple: [de Bleschamp, hasComponent, root "Bleschamp"]
-
A.
Bouchles
Bouchles is the birth surname of former U.S. Senator Olympia Snowe, a prominent American Republican politician from Maine.
-
B.
de Bleschamp
chosen
De Bleschamp is a French noble family name historically associated with Alexandrine de Bleschamp, the second wife of Lucien Bonaparte.
-
C.
Goulet
Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
-
D.
Bongrand
Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
-
E.
Belasyse
Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3eb1f748190904c8894d22cf85f |
completed | April 19, 2026, 10:52 a.m. |
Created at: April 10, 2026, 10:23 a.m.