Triple
T20688426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Loring |
E508484
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Loring |
—
|
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: Loring | Statement: [Lisa Loring, familyName, Loring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loring Context triple: [Lisa Loring, familyName, Loring]
-
A.
Loring
chosen
Loring is a surname most notably associated with American singer and actress Gloria Loring.
-
B.
Loring
Loring is a small unincorporated community and former cannery town in the Ketchikan Gateway Borough of southeastern Alaska, known for its historic waterfront and scenic coastal setting.
-
C.
Nutwood
Nutwood is the idyllic English village that serves as the primary setting for the classic British children's comic strip and stories about Rupert Bear.
-
D.
Fairlawn
Fairlawn is a residential neighborhood and community within the city of Pawtucket in Providence County, Rhode Island.
-
E.
Fairville
Fairville is a residential neighbourhood located on the west side of Saint John, New Brunswick, Canada.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 16, 2026, 11:49 a.m.