Triple
T20700633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth June Thornburg |
E508770
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ted Briskin |
—
|
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: Ted Briskin | Statement: [Elizabeth June Thornburg, spouse, Ted Briskin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Briskin Context triple: [Elizabeth June Thornburg, spouse, Ted Briskin]
-
A.
Ted Briskin
chosen
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
-
B.
Paul Brizzi
Paul Brizzi is a French animator and film director best known for his work in animation, including co-directing segments of the animated feature "The Prophet" (2014).
-
C.
Greg Calbi
Greg Calbi is a renowned American mastering engineer known for his work on numerous iconic albums across rock, pop, and alternative music.
-
D.
Joe Perrino
Joe Perrino is an American actor best known for his role as the young Lorenzo "Shakes" Carcaterra in the 1996 crime drama film "Sleepers."
-
E.
Tim Bessolo
Tim Bessolo is an individual recognized by the NCAA with its prestigious Award of Valor for extraordinary courage and heroism.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18a77308190b7c2517d82a145cd |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.