Triple
T18524088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillip Spaulding |
E452668
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Blake Thorpe |
—
|
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: Blake Thorpe | Statement: [Phillip Spaulding, hasSpouse, Blake Thorpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blake Thorpe Context triple: [Phillip Spaulding, hasSpouse, Blake Thorpe]
-
A.
Blake Thorpe
chosen
Blake Thorpe is a fictional character from the soap opera "Guiding Light," known for her complex romantic entanglements and dramatic storylines in the town of Springfield.
-
B.
Kay Thorpe
Kay Thorpe is a British romance novelist known for her prolific output of contemporary love stories, many published by Mills & Boon/Harlequin.
-
C.
Nick Thorpe
Nick Thorpe is a British journalist and author best known as a long-serving Central Europe correspondent for the BBC.
-
D.
Blake Neale
Blake Neale is an actor known for playing the character Topa in the science fiction television series "The Orville."
-
E.
Blake Ashby
Blake Ashby is an American businessman and political figure who mounted a protest candidacy in the 2004 Republican presidential primaries.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.