Triple
T6315028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Scheer |
E141593
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Rona Ambrose |
E580499
|
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: Rona Ambrose | Statement: [Andrew Scheer, precededBy, Rona Ambrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rona Ambrose Context triple: [Andrew Scheer, precededBy, Rona Ambrose]
-
A.
Rona Ambrose
chosen
Rona Ambrose is a Canadian Conservative politician who served as interim leader of the Conservative Party of Canada and Leader of the Opposition following Stephen Harper’s resignation.
-
B.
Karin Stoiber
Karin Stoiber is a German public figure best known as the wife of former Bavarian Minister-President Edmund Stoiber and for her involvement in social and charitable causes.
-
C.
Diane Martel
Diane Martel is an American music video director and choreographer known for her work on numerous high-profile pop and R&B videos.
-
D.
Sherry Boucher
Sherry Boucher is an American actress and former model who appeared in films and television during the 1960s and 1970s.
-
E.
Maureen Beattie
Maureen Beattie is a Scottish actress known for her extensive work in television, theatre, and film, including roles in British dramas and comedies.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e46feeec8190bdb39a48c92bacf1 |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:28 p.m.