Triple

T34561988
Position Surface form Disambiguated ID Type / Status
Subject Crazy Rhythm E887368 entity
Predicate composer P1361 FINISHED
Object Roger Wolfe Kahn
Roger Wolfe Kahn was an American jazz bandleader, violinist, and composer active in the 1920s and 1930s, known for leading a popular dance orchestra and contributing to early jazz and dance music.
E2101723 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: Roger Wolfe Kahn | Statement: [Crazy Rhythm, composer, Roger Wolfe Kahn]
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: Roger Wolfe Kahn
Triple: [Crazy Rhythm, composer, Roger Wolfe Kahn]
Generated description
Roger Wolfe Kahn was an American jazz bandleader, violinist, and composer active in the 1920s and 1930s, known for leading a popular dance orchestra and contributing to early jazz and dance music.

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_69f349d0c4d881908dd0950f5eb9ec0a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720637214819080c89b45c9c7a00b completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37362840a08190a5339cef226a93c0 completed June 21, 2026, 12:54 a.m.
NEDg Description generation batch_6a3736d2432c819083dc2022f6d5b181 completed June 21, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a37375fecf081908a85fdb46751fc6b completed June 21, 2026, 12:59 a.m.
Created at: May 1, 2026, 2:02 a.m.