Triple

T23642172
Position Surface form Disambiguated ID Type / Status
Subject 2017 Conservative Party of Canada leadership election E583928 entity
Predicate otherCandidate P9213 FINISHED
Object Lisa Raitt
Lisa Raitt is a Canadian lawyer and former Conservative cabinet minister who has served as a Member of Parliament and held key portfolios such as transport and natural resources.
E1595170 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: Lisa Raitt | Statement: [2017 Conservative Party of Canada leadership election, otherCandidate, Lisa Raitt]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lisa Raitt
Triple: [2017 Conservative Party of Canada leadership election, otherCandidate, Lisa Raitt]
Generated description
Lisa Raitt is a Canadian lawyer and former Conservative cabinet minister who has served as a Member of Parliament and held key portfolios such as transport and natural resources.

Provenance (5 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_69e248fefafc81909656921192f30e80 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b2821cb881909b1ab77aa77208e0 completed April 29, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45a6c55881908b4e49da244417cc completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f47d607188190974666bddb39c7cf completed May 21, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0f484988d081909280fe863dc80e30 completed May 21, 2026, 6 p.m.
Created at: April 17, 2026, 6:48 p.m.