Triple
T7166886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwendoline Mary Lacey |
E167091
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Lacey |
E582826
|
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: Lacey | Statement: [Gwendoline Mary Lacey, hasFamilyName, Lacey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacey Context triple: [Gwendoline Mary Lacey, hasFamilyName, Lacey]
-
A.
Lacey
chosen
Lacey is a feminine given name most notably borne by American actress Lacey Chabert.
-
B.
Lacey, Washington
Lacey, Washington is a suburban city in Thurston County near Olympia, known for its proximity to state government centers and its role as a regional administrative and commercial hub.
-
C.
Isleton
Isleton is a small historic city in California’s Sacramento–San Joaquin River Delta, known for its legacy as a former riverboat and agricultural hub with notable Chinese and Japanese American heritage.
-
D.
Everett
Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
-
E.
Everett
Everett is a city in Middlesex County, Massachusetts, located just north of Boston and known for its industrial history and urban residential character.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85a07388190a07054ef12870fa1 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adced6b48190bcae9af88f640584 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:48 p.m.