Triple

T31713591
Position Surface form Disambiguated ID Type / Status
Subject Governor of Annapolis Royal E809394 entity
Predicate officeHolder P537 FINISHED
Object John Doucett
John Doucett was an early 18th-century British colonial official who served as a key military and administrative leader in Nova Scotia during the period of imperial rivalry in Atlantic Canada.
E1989153 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: John Doucett | Statement: [Governor of Annapolis Royal, officeHolder, John Doucett]
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: John Doucett
Triple: [Governor of Annapolis Royal, officeHolder, John Doucett]
Generated description
John Doucett was an early 18th-century British colonial official who served as a key military and administrative leader in Nova Scotia during the period of imperial rivalry in Atlantic 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_69f348df4e048190a4a5a9932ada78d6 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aad2c52c81909ff1e168f5c034b7 completed May 3, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed4ca909881908c141632a41cb6f9 completed June 14, 2026, 4:20 p.m.
NEDg Description generation batch_6a2ed5e9ddf48190b24ecf2d8ccd7a61 completed June 14, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed6af3b1081909c776164b167583a completed June 14, 2026, 4:28 p.m.
Created at: April 30, 2026, 11:16 p.m.