Triple

T24486043
Position Surface form Disambiguated ID Type / Status
Subject Meadow Brook Hall E617510 entity
Predicate formerOwner P347 FINISHED
Object Alfred G. Wilson
Alfred G. Wilson was an American businessman and philanthropist associated with the Dodge-Wilson family, known for his stewardship of the historic Meadow Brook estate in Michigan.
E2293674 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: Alfred G. Wilson | Statement: [Meadow Brook Hall, formerOwner, Alfred G. Wilson]
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: Alfred G. Wilson
Triple: [Meadow Brook Hall, formerOwner, Alfred G. Wilson]
Generated description
Alfred G. Wilson was an American businessman and philanthropist associated with the Dodge-Wilson family, known for his stewardship of the historic Meadow Brook estate in Michigan.

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_69e2d7f3ae788190b683394db15f220e completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a6dbc6bc819087d0d76c186f976d completed April 30, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7af02e29488190bad8ff1a966cb042 completed Aug. 11, 2026, 9:49 a.m.
NEDg Description generation batch_6a7af093e43081908a1ed93ffea4620a completed Aug. 11, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_6a7af100e31c8190bde42e0cd9442381 completed Aug. 11, 2026, 9:53 a.m.
Created at: April 18, 2026, 2:21 a.m.