Triple
T23256335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Lowery |
E581884
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lowery |
—
|
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: Lowery | Statement: [Linda Lowery, familyName, Lowery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lowery Context triple: [Linda Lowery, familyName, Lowery]
-
A.
Lowery
chosen
Lowery is a surname most notably associated with Joseph Lowery, a prominent American civil rights leader and minister.
-
B.
Lovett
Lovett is a surname most prominently associated with American singer, songwriter, and actor Lyle Lovett.
-
C.
Lavery
Lavery is a surname of Irish origin borne by various notable individuals, including figures in the arts, politics, and sports.
-
D.
Loughery
Loughery is a surname most notably associated with former American professional basketball player and coach Kevin Loughery.
-
E.
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.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c4905c819099ca21c6529413ac |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.