Triple

T29506824
Position Surface form Disambiguated ID Type / Status
Subject From the Choirgirl Hotel E748536 entity
Predicate hasSupportingMusician P63464 FINISHED
Object Jon Evans
Jon Evans is an American bassist and multi-instrumentalist best known for his long-time collaboration and touring work with singer-songwriter Tori Amos.
E1869546 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: Jon Evans | Statement: [From the Choirgirl Hotel, hasSupportingMusician, Jon Evans]
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: Jon Evans
Triple: [From the Choirgirl Hotel, hasSupportingMusician, Jon Evans]
Generated description
Jon Evans is an American bassist and multi-instrumentalist best known for his long-time collaboration and touring work with singer-songwriter Tori Amos.

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_69f0bd455a9c8190b40a3e8ea38cf61f completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66c37a8688190afca11d42d138bd9 completed May 2, 2026, 9:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f135cec88190a53a1c737eaac698 completed June 7, 2026, 10:31 p.m.
NEDg Description generation batch_6a25f566453c8190bfbaf22540ac006e completed June 7, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_6a25f981161481908aeb778528321059 completed June 7, 2026, 11:06 p.m.
Created at: April 28, 2026, 4:28 p.m.