Triple

T27669256
Position Surface form Disambiguated ID Type / Status
Subject Bob Parsons E697614 entity
Predicate spouse P13 FINISHED
Object Renee Parsons
Renee Parsons is an American businesswoman and philanthropist known for her leadership roles in the YAM Worldwide and PXG enterprises she co-owns with her husband, billionaire entrepreneur Bob Parsons.
E1831115 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: Renee Parsons | Statement: [Bob Parsons, spouse, Renee Parsons]
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: Renee Parsons
Triple: [Bob Parsons, spouse, Renee Parsons]
Generated description
Renee Parsons is an American businesswoman and philanthropist known for her leadership roles in the YAM Worldwide and PXG enterprises she co-owns with her husband, billionaire entrepreneur Bob Parsons.

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_69ef590d458c81909583290c3cd0478b completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f634a807c88190bb549a04e16bfd8d completed May 2, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf0dfdbc8190aecca52356449b9b completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1ccff86fc88190b1438e77f3a5f101 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a24946ccd908190ae144fbc7010aca9 completed June 6, 2026, 9:43 p.m.
Created at: April 27, 2026, 2:40 p.m.