Triple

T26078849
Position Surface form Disambiguated ID Type / Status
Subject Dancing with the Stars (season 31) E657770 entity
Predicate featuresContestant P46216 FINISHED
Object Jessie James Decker
Jessie James Decker is an American country-pop singer, songwriter, and reality television personality known for her music career and lifestyle brand.
E1708110 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: Jessie James Decker | Statement: [Dancing with the Stars (season 31), featuresContestant, Jessie James Decker]
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: Jessie James Decker
Triple: [Dancing with the Stars (season 31), featuresContestant, Jessie James Decker]
Generated description
Jessie James Decker is an American country-pop singer, songwriter, and reality television personality known for her music career and lifestyle brand.

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_69ee5bbf0d208190801ee95d4f07fb16 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f606f905688190a7c4487dc63ff305 completed May 2, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b341c848190be77e21bede34457 completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111c6d51308190a083d3a650e57c94 completed May 23, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a111dca95888190bbe8b18c7603a5ba completed May 23, 2026, 3:23 a.m.
Created at: April 26, 2026, 7:36 p.m.