Triple
T6898506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Somerset Maugham |
E159432
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Cap Ferrat |
E249283
|
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: Cap Ferrat | Statement: [W. Somerset Maugham, residence, Cap Ferrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cap Ferrat Context triple: [W. Somerset Maugham, residence, Cap Ferrat]
-
A.
Saint-Tropez
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
B.
Cap-d’Ail
Cap-d’Ail is a coastal resort town on the French Riviera, bordering Monaco and known for its scenic beaches and Belle Époque villas.
-
C.
Fréjus
Fréjus is a historic town and seaside resort on the French Riviera in southeastern France, known for its Roman ruins and Mediterranean coastline.
-
D.
Saint-Jean-Cap-Ferrat, France
chosen
Saint-Jean-Cap-Ferrat, France is an exclusive Mediterranean seaside commune on the French Riviera known for its luxurious villas, scenic peninsula, and affluent residents.
-
E.
Cargèse
Cargèse is a coastal village on the west coast of Corsica, France, known for its Greek heritage, twin churches, and scenic Mediterranean setting.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95d67448190857f36b8115b03f6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748eb23888190bca6e42dc03ab31b |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:24 p.m.