Triple
T2522965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivers |
E55565
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Francine Rivers (author) |
E275947
|
NE FINISHED |
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: Francine Rivers (author) | Statement: [Rivers, hasNotableBearer, Francine Rivers (author)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francine Rivers (author) Context triple: [Rivers, hasNotableBearer, Francine Rivers (author)]
-
A.
Francine Rivers
chosen
Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
-
B.
Lucinda Riley
Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
-
C.
Sandra Hunt
Sandra Hunt is best known as the wife of legendary Los Angeles Dodgers broadcaster Vin Scully.
-
D.
Christianna Brand
Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
-
E.
Sarah Alexander
Sarah Alexander is a British actress best known for her roles in television comedies such as "Coupling" and "Green Wing."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23a0a548190b44393e0f823f7a9 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cf0939c8190b7f7babc487c43cd |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:46 p.m.