Triple

T22432629
Position Surface form Disambiguated ID Type / Status
Subject Gradually Going Tornado E554534 entity
Predicate performer P1363 FINISHED
Object Amanda Parsons
Amanda Parsons is a vocalist best known for her work with Bill Bruford’s jazz-rock fusion projects, including contributing vocals to the album "Gradually Going Tornado."
E1615570 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: Amanda Parsons | Statement: [Gradually Going Tornado, performer, Amanda 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: Amanda Parsons
Triple: [Gradually Going Tornado, performer, Amanda Parsons]
Generated description
Amanda Parsons is a vocalist best known for her work with Bill Bruford’s jazz-rock fusion projects, including contributing vocals to the album "Gradually Going Tornado."

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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f96184a28819091a1a3930107cc24 completed May 21, 2026, 11:32 p.m.
NEDg Description generation batch_6a0f96c97c7c8190a735c582a3fc5ec9 completed May 21, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0f980f03548190b8c37ec67a132a93 completed May 21, 2026, 11:41 p.m.
Created at: April 16, 2026, 8:47 p.m.