Triple
T18184975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith |
E435387
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Edith Cavell |
—
|
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: Edith Cavell | Statement: [Edith, hasNotableBearer, Edith Cavell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith Cavell Context triple: [Edith, hasNotableBearer, Edith Cavell]
-
A.
Edith Cavell
chosen
Edith Cavell was a British nurse and humanitarian celebrated for helping Allied soldiers escape German-occupied Belgium during World War I, for which she was executed in 1915 and later honored as a martyr and national heroine.
-
B.
Anne Brossolette
Anne Brossolette is the daughter of French Resistance hero and journalist Pierre Brossolette.
-
C.
Noor Inayat Khan
Noor Inayat Khan was a British-Indian World War II heroine and wireless operator in Nazi-occupied France, celebrated for her courage and sacrifice as an undercover agent.
-
D.
Margaret Petit
Margaret Petit is the grandmother of actress Jennifer Hall.
-
E.
Violette Heymann
Violette Heymann is the subject of a painted portrait, likely a woman of some social or cultural significance to the artist or period in which the work was created.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffdccd881908da772db78b9d081 |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.