Triple

T29217073
Position Surface form Disambiguated ID Type / Status
Subject Johann Pachelbel E740701 entity
Predicate influencedBy P9 FINISHED
Object Johann Jakob Froberger
Johann Jakob Froberger was a 17th-century German composer, organist, and harpsichordist whose expressive keyboard works significantly shaped the Baroque keyboard tradition across Europe.
E1858985 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: Johann Jakob Froberger | Statement: [Johann Pachelbel, influencedBy, Johann Jakob Froberger]
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: Johann Jakob Froberger
Triple: [Johann Pachelbel, influencedBy, Johann Jakob Froberger]
Generated description
Johann Jakob Froberger was a 17th-century German composer, organist, and harpsichordist whose expressive keyboard works significantly shaped the Baroque keyboard tradition across Europe.

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_69f07cba2f808190a2746477d4e8345b completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6642f4bb08190990674229a76dad3 completed May 2, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2589170058819091c955eeadec5f76 completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258d5c870881909c75fab5ef8093bd completed June 7, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a2591728844819099129a16cb37bd69 completed June 7, 2026, 3:42 p.m.
Created at: April 28, 2026, 12:14 p.m.