Triple

T33682800
Position Surface form Disambiguated ID Type / Status
Subject Don Everly E862946 entity
Predicate givenName P17 FINISHED
Object Donald
Donald is the given first name of Don Everly, the American musician best known as one half of the influential rock and roll duo the Everly Brothers.
E2063896 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: Donald | Statement: [Don Everly, givenName, Donald]
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: Donald
Triple: [Don Everly, givenName, Donald]
Generated description
Donald is the given first name of Don Everly, the American musician best known as one half of the influential rock and roll duo the Everly Brothers.

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_69f3498662b48190904442c39df84fb7 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fa6028d88190a94185bfbb96a888 completed May 3, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363c91e7008190aec5194480da56a4 completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a3647ea72248190b36e7264d8e83cc6 completed June 20, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_6a364e53b38881908487bb89b9687ed7 completed June 20, 2026, 8:24 a.m.
Created at: May 1, 2026, 1:43 a.m.