Triple

T26514196
Position Surface form Disambiguated ID Type / Status
Subject William Cornelius Van Horne E669767 entity
Predicate familyName P18 FINISHED
Object Van Horne
Van Horne is a surname most notably associated with William Cornelius Van Horne, the influential railway executive who oversaw the construction of Canada’s first transcontinental railroad.
E1727683 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: Van Horne | Statement: [William Cornelius Van Horne, familyName, Van Horne]
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: Van Horne
Triple: [William Cornelius Van Horne, familyName, Van Horne]
Generated description
Van Horne is a surname most notably associated with William Cornelius Van Horne, the influential railway executive who oversaw the construction of Canada’s first transcontinental railroad.

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_69eeb31b6dcc8190b30632dc3928a0c0 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61394b50c81909e628b2e5b1aa3d5 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb3f7b908190a6d763a270f929f6 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be61ba0c8190b932a96eda11e624 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf3635308190aad4d7a3f35b81df completed May 23, 2026, 2:52 p.m.
Created at: April 27, 2026, 1:22 a.m.