Triple
T18900715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Ballantine |
E462332
|
entity |
| Predicate | partnerInBusinessWith |
P282
|
FINISHED |
| Object | Betty Ballantine |
—
|
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: Betty Ballantine | Statement: [Ian Ballantine, partnerInBusinessWith, Betty Ballantine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Ballantine Context triple: [Ian Ballantine, partnerInBusinessWith, Betty Ballantine]
-
A.
Betty Ballantine
chosen
Betty Ballantine was a pioneering American publisher and editor who helped popularize mass-market paperbacks and co-founded the influential imprint Ballantine Books.
-
B.
Margaret Huston
Margaret Huston is known primarily as the wife of James Ramsay.
-
C.
Barbara Mallery
Barbara Mallery was the first wife of American television and radio personality Dick Clark, whom he married early in his career.
-
D.
Judith Hoag
Judith Hoag is an American actress best known for her roles in the original Teenage Mutant Ninja Turtles film and Disney Channel’s Halloweentown series.
-
E.
Barbara Follett
Barbara Follett is a British Labour politician and former Member of Parliament who served as a government minister under Prime Minister Gordon Brown.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c5289ba48190a6825c4db2e5e48d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.