Triple

T35477557
Position Surface form Disambiguated ID Type / Status
Subject Robert Glenn Johnson Jr. E1025376 entity
Predicate relative P37 FINISHED
Object Robert Glenn Johnson Sr.
Robert Glenn Johnson Sr. was an American bootlegger and father of NASCAR legend Junior Johnson, known for his role in the moonshine trade in North Carolina.
E2142496 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: Robert Glenn Johnson Sr. | Statement: [Robert Glenn Johnson Jr., relative, Robert Glenn Johnson Sr.]
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: Robert Glenn Johnson Sr.
Triple: [Robert Glenn Johnson Jr., relative, Robert Glenn Johnson Sr.]
Generated description
Robert Glenn Johnson Sr. was an American bootlegger and father of NASCAR legend Junior Johnson, known for his role in the moonshine trade in North Carolina.

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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f796e951b08190854327f83932c83c completed May 3, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38403daba0819096a88a4b90ae4fe5 completed June 21, 2026, 7:49 p.m.
NEDg Description generation batch_6a38412b825c8190bb041dcf4f238c3e completed June 21, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_6a38425594c481908679cd38b14e31c8 completed June 21, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:04 p.m.