Triple

T18896946
Position Surface form Disambiguated ID Type / Status
Subject Old Forester Distilling Co. E462232 entity
Predicate foundedBy P104 FINISHED
Object George Garvin Brown
George Garvin Brown was a 19th-century American whiskey entrepreneur best known for pioneering the sale of bourbon in sealed glass bottles and founding what became the Brown-Forman Corporation.
E1697381 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: George Garvin Brown | Statement: [Old Forester Distilling Co., foundedBy, George Garvin Brown]
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: George Garvin Brown
Triple: [Old Forester Distilling Co., foundedBy, George Garvin Brown]
Generated description
George Garvin Brown was a 19th-century American whiskey entrepreneur best known for pioneering the sale of bourbon in sealed glass bottles and founding what became the Brown-Forman Corporation.

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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47f6c948190918ade08bb88f1fd completed April 20, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10d9cc70808190b72a2d2bf7d14568 completed May 22, 2026, 10:33 p.m.
NEDg Description generation batch_6a10ddc8e4188190959ea1e7d360aba5 completed May 22, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a10de259fd4819087f0f5707196792d completed May 22, 2026, 10:52 p.m.
Created at: April 10, 2026, 11:58 a.m.