Triple
T18524085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillip Spaulding |
E452668
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object | Beth Raines |
—
|
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: Beth Raines | Statement: [Phillip Spaulding, hasSpouse, Beth Raines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Raines Context triple: [Phillip Spaulding, hasSpouse, Beth Raines]
-
A.
Beth Raines Spaulding
chosen
Beth Raines Spaulding is a fictional character from the soap opera "Guiding Light," known for her complex relationships and long-running ties to the influential Spaulding family.
-
B.
Leah Ashley
Leah Ashley is a fashion and lifestyle expert best known as a co-host and style contributor on the daytime talk show FABLife.
-
C.
Lisa Vidal
Lisa Vidal is an American actress known for her work in television dramas and films, including prominent roles in series like "The Division," "ER," and "Being Mary Jane."
-
D.
Rachel Roberts
Rachel Roberts is a Canadian model and actress known for her work in fashion campaigns and films such as "Simone" and "Entourage."
-
E.
Rachel Roberts
Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
- 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.