Triple
T6276446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Lowery |
E140671
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Lowery |
E140671
|
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: Lowery | Statement: [Linda Lowery, hasFamilyName, Lowery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lowery Context triple: [Linda Lowery, hasFamilyName, Lowery]
-
A.
Lowery
chosen
Lowery is a surname most notably associated with Joseph Lowery, a prominent American civil rights leader and minister.
-
B.
Lowrey
Lowrey is a surname that serves as a spelling variant of the more common name Lowry.
-
C.
Shandon
Shandon is a small rural community in California’s Central Coast region known for its agriculture and proximity to local vineyards and ranchlands.
-
D.
Shandon
Shandon is a small village on the shores of Gare Loch in Argyll and Bute, Scotland, known for its scenic waterfront setting and residential character.
-
E.
Pagford
Pagford is the fictional English village that serves as the primary setting of J.K. Rowling’s novel "The Casual Vacancy," characterized by its seemingly idyllic facade and underlying social tensions.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063d96fbc8190a9091456b82762d1 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603f29b8c81909636526a35547107 |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:26 p.m.