Triple
T16630902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LeBlanc |
E404074
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Le Blanc |
E819025
|
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: Le Blanc | Statement: [LeBlanc, hasVariant, Le Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Blanc Context triple: [LeBlanc, hasVariant, Le Blanc]
-
A.
Le Blanc
chosen
Le Blanc is a small French town in the Indre department, known for its picturesque setting on the Creuse River and its role as a local administrative and commercial center.
-
B.
Les Blancs
Les Blancs is a posthumously produced play by Lorraine Hansberry that powerfully examines African anti-colonial struggle and the moral complexities of revolution.
-
C.
Tête Blanche
Tête Blanche is a mountain peak in the Mont Blanc massif of the Alps, known for its glaciated slopes and proximity to the Glacier de Trient on the Swiss–French border.
-
D.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
-
E.
La Blancarde
La Blancarde is a neighborhood and transport hub in Marseille, France, known for its railway and metro station connecting the city’s eastern districts.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e5d4448190bfb1b6157bbe5285 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbc6cf48190879b25e66c9453db |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.