Triple

T33481162
Position Surface form Disambiguated ID Type / Status
Subject Charles Payne E857476 entity
Predicate notableWork P4 FINISHED
Object Making Money with Charles Payne
Making Money with Charles Payne is a Fox Business Network television program focused on stock market analysis, investment strategies, and financial news hosted by commentator Charles Payne.
E2053362 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: Making Money with Charles Payne | Statement: [Charles Payne, notableWork, Making Money with Charles Payne]
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: Making Money with Charles Payne
Triple: [Charles Payne, notableWork, Making Money with Charles Payne]
Generated description
Making Money with Charles Payne is a Fox Business Network television program focused on stock market analysis, investment strategies, and financial news hosted by commentator Charles Payne.

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_69f3497472508190b300ebd3fd402367 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e52f08fc819081460cc2901aeeda completed May 3, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595b3fd408190b3ae340c51a978ef completed June 19, 2026, 7:17 p.m.
NEDg Description generation batch_6a3598a1abb081909a3be50e398e67ea completed June 19, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_6a3599260a688190be69107b0600aa08 completed June 19, 2026, 7:31 p.m.
Created at: May 1, 2026, 1:38 a.m.