Triple
T19789476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Logan |
E475370
|
entity |
| Predicate | romanticRelationship |
P9994
|
FINISHED |
| Object | Thorne Forrester |
—
|
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: Thorne Forrester | Statement: [Donna Logan, romanticRelationship, Thorne Forrester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorne Forrester Context triple: [Donna Logan, romanticRelationship, Thorne Forrester]
-
A.
Thorne Forrester
chosen
Thorne Forrester is a fictional character from the American soap opera "The Bold and the Beautiful," known as a member of the wealthy Forrester family and for his long-running romantic and family dramas.
-
B.
Danny Forrester
Danny Forrester is the central protagonist of the novel "Battle Cry," around whom the story’s main events and character development revolve.
-
C.
Terry Blythe
Terry Blythe is a film and television editor known for working on projects such as the TV movie "Baywatch: Hawaiian Wedding."
-
D.
Mark Forrester
Mark Forrester is a South African entrepreneur and co-founder of WooThemes, the company that created the popular WooCommerce plugin for WordPress.
-
E.
William Forrester
William Forrester is a reclusive, Pulitzer Prize–winning author who forms an unlikely mentoring relationship with a gifted young writer in the film "Finding Forrester."
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.