Triple
T2317346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corsier-sur-Vevey |
E51095
|
entity |
| Predicate | hasNotableResident |
P1092
|
FINISHED |
| Object | Oona O’Neill |
E27480
|
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: Oona O’Neill | Statement: [Corsier-sur-Vevey, hasNotableResident, Oona O’Neill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oona O’Neill Context triple: [Corsier-sur-Vevey, hasNotableResident, Oona O’Neill]
-
A.
Oona O’Neill
chosen
Oona O’Neill was an American-born actress and socialite, the daughter of playwright Eugene O’Neill, who became widely known as the longtime wife and muse of filmmaker Charlie Chaplin.
-
B.
Virginia O'Brien
Virginia O'Brien was an American film actress and singer best known for her deadpan comedic style and musical performances in MGM musicals of the 1940s.
-
C.
Stella Damon
Stella Damon is one of the daughters of American actor and filmmaker Matt Damon.
-
D.
Helen O’Connell
Helen O’Connell was a popular American big band singer and entertainer best known for her work with Jimmy Dorsey’s orchestra in the 1940s.
-
E.
Karen O’Brien
Karen O’Brien is a British academic and university leader who serves as Vice-Chancellor of Durham University, overseeing its strategic direction and academic mission.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62df2048190ac7a5ebc0a4139b2 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8964902081909070dd03ccb7cf1f |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.