Triple

T22942214
Position Surface form Disambiguated ID Type / Status
Subject Double Concerto for Harpsichord and Piano with Two Chamber Orchestras E569763 entity
Predicate dedicatedTo P500 FINISHED
Object Igor Kipnis
Igor Kipnis was a renowned American harpsichordist and musicologist celebrated for his performances, recordings, and scholarship in Baroque and early keyboard music.
E1868595 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: Igor Kipnis | Statement: [Double Concerto for Harpsichord and Piano with Two Chamber Orchestras, dedicatedTo, Igor Kipnis]
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: Igor Kipnis
Triple: [Double Concerto for Harpsichord and Piano with Two Chamber Orchestras, dedicatedTo, Igor Kipnis]
Generated description
Igor Kipnis was a renowned American harpsichordist and musicologist celebrated for his performances, recordings, and scholarship in Baroque and early keyboard 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819a509481908a3662ef80f757c7 completed April 29, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25f0e0f5808190bd6d7722f1e98c40 completed June 7, 2026, 10:29 p.m.
NEDg Description generation batch_6a25f597671881908e6321f3a9d8be7c completed June 7, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_6a25f9567c1081908688ac7813b817f4 completed June 7, 2026, 11:05 p.m.
Created at: April 17, 2026, 3:45 p.m.