Triple
T16231420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacey Schwimmer |
E393990
|
entity |
| Predicate | givenName |
P17
|
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: [Lacey Schwimmer, givenName, Lacey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacey Context triple: [Lacey Schwimmer, givenName, 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.
Seatoun
Seatoun is a coastal suburb of Wellington, New Zealand, known for its scenic harbor views and proximity to the entrance of Wellington Harbour.
-
D.
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.
-
E.
Everett
Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29fa248190943f4c3f7808908b |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007a0ab08819082aea4c312c9ffc7 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:04 a.m.