Triple

T34663746
Position Surface form Disambiguated ID Type / Status
Subject Milton Brown and His Musical Brownies E890193 entity
Predicate hasMember P10 FINISHED
Object Bob Dunn
Bob Dunn was an influential early Western swing musician and pioneering electric steel guitarist.
E2157641 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: Bob Dunn | Statement: [Milton Brown and His Musical Brownies, hasMember, Bob Dunn]
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: Bob Dunn
Triple: [Milton Brown and His Musical Brownies, hasMember, Bob Dunn]
Generated description
Bob Dunn was an influential early Western swing musician and pioneering electric steel guitarist.

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_69f349d906bc8190b2efd9eff237d94b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722f429e8819087d585e9976f0024 completed May 3, 2026, 10:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a389bf5f3e4819088d8b98cf0995f44 completed June 22, 2026, 2:20 a.m.
NEDg Description generation batch_6a389d107bd08190af03d8ca0939dd9b completed June 22, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_6a389dbe1f5c8190a3c463ad0146c076 completed June 22, 2026, 2:28 a.m.
Created at: May 1, 2026, 2:04 a.m.