Triple
T17612848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Gurney |
E429004
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gurney |
—
|
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: Gurney | Statement: [Elizabeth Gurney, familyName, Gurney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurney Context triple: [Elizabeth Gurney, familyName, Gurney]
-
A.
Gurney
chosen
Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
-
B.
Goranson
Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
-
C.
Ghormley
Ghormley is a surname most notably associated with U.S. Navy Admiral Robert L. Ghormley, who served in the Pacific during World War II.
-
D.
Guston
Guston is a small village and civil parish in the Dover District of Kent, England.
-
E.
Grier
Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
- 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_69e46d2eaa348190a8226eef8c0d6e31 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.