Triple
T6276422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowery |
E140671
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lowry |
E94810
|
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: Lowry | Statement: [Lowery, hasVariant, Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lowry Context triple: [Lowery, hasVariant, Lowry]
-
A.
Lowry
chosen
Lowry is a renowned English surname most famously associated with L. S. Lowry, the 20th-century painter known for his industrial landscapes and "matchstick men."
-
B.
Ringlow
Ringlow is a locality in Sheffield, South Yorkshire, England, situated in the countryside near the upper reaches of the Porter Brook.
-
C.
Lawrie
Lawrie is the middle name of Wilfred Lawrie Nicholas Johnson, the son of former UK Prime Minister Boris Johnson and Carrie Johnson.
-
D.
Lorens
Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
-
E.
Horton
Horton is a locality within the Borough of Epsom and Ewell in Surrey, England, known historically for its former psychiatric hospitals and surrounding green spaces.
- 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_69c519478ed88190913f9e3ccf6368f1 |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.