Triple

T35165866
Position Surface form Disambiguated ID Type / Status
Subject Andrew Percy E1015401 entity
Predicate positionHeld P8 FINISHED
Object Prime Minister’s Trade Envoy to Canada
The Prime Minister’s Trade Envoy to Canada is a UK government-appointed role focused on strengthening bilateral trade and investment ties between the United Kingdom and Canada.
E2127141 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: Prime Minister’s Trade Envoy to Canada | Statement: [Andrew Percy, positionHeld, Prime Minister’s Trade Envoy to Canada]
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: Prime Minister’s Trade Envoy to Canada
Triple: [Andrew Percy, positionHeld, Prime Minister’s Trade Envoy to Canada]
Generated description
The Prime Minister’s Trade Envoy to Canada is a UK government-appointed role focused on strengthening bilateral trade and investment ties between the United Kingdom and Canada.

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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78d34109c8190acd2299e5f73fd1a completed May 3, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37d96cd2088190833412d7704800bc completed June 21, 2026, 12:30 p.m.
NEDg Description generation batch_6a37da92f6b48190a937a9c04bd5d064 completed June 21, 2026, 12:35 p.m.
NED2 Entity disambiguation (via description) batch_6a37dbed7540819081bd95af5520b163 completed June 21, 2026, 12:41 p.m.
Created at: May 3, 2026, 4:02 p.m.