Triple

T32351031
Position Surface form Disambiguated ID Type / Status
Subject Get Low, Get High E826595 entity
Predicate performedBy P1363 FINISHED
Object American country-rap artist Willie Jones
Willie Jones is an American country-rap artist known for blending traditional country storytelling with hip-hop beats and modern R&B influences.
 E2003994 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: American country-rap artist Willie Jones | Statement: [Get Low, Get High, performedBy, American country-rap artist Willie Jones]
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: American country-rap artist Willie Jones
Triple: [Get Low, Get High, performedBy, American country-rap artist Willie Jones]
Generated description
Willie Jones is an American country-rap artist known for blending traditional country storytelling with hip-hop beats and modern R&B influences.

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_69f34914dfc48190a390cd0720d9e86f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6be57c97c81909b558169bc87b1b7 completed May 3, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8a0e38c81909025180d1834ef5d completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33ea35394c8190b2a5d4aeea74a60b completed June 18, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_6a342e33f9e88190a624af38757446ce completed June 18, 2026, 5:43 p.m.
Created at: May 1, 2026, 12:49 a.m.