Triple

T19704731
Position Surface form Disambiguated ID Type / Status
Subject Jurgenson E473182 entity
Predicate foundedBy P104 FINISHED
Object Pyotr Ivanovich Jurgenson
Pyotr Ivanovich Jurgenson was a prominent 19th-century Russian music publisher best known for publishing the works of composers such as Pyotr Ilyich Tchaikovsky.
E1599149 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: Pyotr Ivanovich Jurgenson | Statement: [Jurgenson, foundedBy, Pyotr Ivanovich Jurgenson]
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: Pyotr Ivanovich Jurgenson
Triple: [Jurgenson, foundedBy, Pyotr Ivanovich Jurgenson]
Generated description
Pyotr Ivanovich Jurgenson was a prominent 19th-century Russian music publisher best known for publishing the works of composers such as Pyotr Ilyich Tchaikovsky.

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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b998608190a82f23bbf77f7bd2 completed April 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0f536597188190bc3d8548b817bbc3 completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f5558f50c8190a268fbcde798512e completed May 21, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f56691aa08190b46a9ad2c3dce1d0 completed May 21, 2026, 7 p.m.
Created at: April 10, 2026, 1:46 p.m.