Triple
T17606724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancaster |
E428851
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Sarah Lancaster |
—
|
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: Sarah Lancaster | Statement: [Lancaster, hasNotableBearer, Sarah Lancaster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Lancaster Context triple: [Lancaster, hasNotableBearer, Sarah Lancaster]
-
A.
Sarah Lancaster
chosen
Sarah Lancaster is an American actress best known for her television roles, including playing Ellie Bartowski on the series "Chuck."
-
B.
Lindsay Clare
Lindsay Clare is an Australian architect known for designing prominent public buildings, including major cultural institutions.
-
C.
Francesca Sandford
Francesca Sandford is a British singer and media personality best known as Frankie Bridge, a member of the girl groups S Club 8 and The Saturdays.
-
D.
Rosemary Forsyth
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
-
E.
Elizabeth Layton
Elizabeth Layton is Winston Churchill’s young personal secretary and typist, depicted as a close and observant aide during the early years of World War II.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.