Triple

T28246586
Position Surface form Disambiguated ID Type / Status
Subject Red Foley E712184 entity
Predicate birthName P65 FINISHED
Object Clyde Julian Foley
Clyde Julian Foley, better known as Red Foley, was a pioneering American country music singer, guitarist, and radio/TV personality influential in popularizing country and gospel music in the mid-20th century.
 E1808220 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: Clyde Julian Foley | Statement: [Red Foley, birthName, Clyde Julian Foley]
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: Clyde Julian Foley
Triple: [Red Foley, birthName, Clyde Julian Foley]
Generated description
Clyde Julian Foley, better known as Red Foley, was a pioneering American country music singer, guitarist, and radio/TV personality influential in popularizing country and gospel music in the mid-20th century.

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_69efb51fb98881909692421959ec0170 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643c95d8881908513f34fd6a0216e completed May 2, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6d6013c8190bdc40f7614b1b455 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15eaa163e481908f817123e5a71830 completed May 26, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a15f06280b88190847f9b1164cf01d5 completed May 26, 2026, 7:11 p.m.
Created at: April 27, 2026, 11:02 p.m.