Triple
T17924728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Frum |
E448160
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Linda Frum |
E1298258
|
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: Linda Frum | Statement: [Barbara Frum, hasRelative, Linda Frum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Frum Context triple: [Barbara Frum, hasRelative, Linda Frum]
-
A.
Linda Frum
chosen
Linda Frum is a Canadian author, journalist, and former Conservative senator known for her work in public policy and media.
-
B.
Barbara Frum
Barbara Frum was a prominent Canadian journalist and broadcaster best known as a host of CBC Radio’s "As It Happens" and CBC Television’s "The Journal."
-
C.
Elizabeth May
Elizabeth May is a Canadian politician and environmentalist who served as the longtime leader of the Green Party of Canada and was one of its most prominent federal MPs.
-
D.
Yvette Blais
Yvette Blais is a television composer best known for her work scoring the animated science fiction series "Star Trek: The Animated Series."
-
E.
Melanie Liburd
Melanie Liburd is a British actress known for her roles in television series such as "This Is Us," "Game of Thrones," and "Power Book II: Ghost."
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54cf8188190b9bd676443418c23 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0330044a10819091c1328910d2bd58 |
completed | May 12, 2026, 1:49 p.m. |
Created at: April 10, 2026, 10:20 a.m.