Triple

T33500097
Position Surface form Disambiguated ID Type / Status
Subject Nightbook E857963 entity
Predicate hasPart P35 FINISHED
Object track: The Snow Prelude No. 3 in C Major
"The Snow Prelude No. 3 in C Major" is a contemplative solo piano piece by Ludovico Einaudi, characterized by its delicate melodies and minimalist, atmospheric style.
E2054499 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: track: The Snow Prelude No. 3 in C Major | Statement: [Nightbook, hasPart, track: The Snow Prelude No. 3 in C Major]
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: track: The Snow Prelude No. 3 in C Major
Triple: [Nightbook, hasPart, track: The Snow Prelude No. 3 in C Major]
Generated description
"The Snow Prelude No. 3 in C Major" is a contemplative solo piano piece by Ludovico Einaudi, characterized by its delicate melodies and minimalist, atmospheric style.

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_69f3497660508190a541826a81f7e9ab completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e59a97a881908cca14409eb9e6e7 completed May 3, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595c33f008190ba61217b33c91bf9 completed June 19, 2026, 7:17 p.m.
NEDg Description generation batch_6a359c14c0a0819081e8e773db914a68 completed June 19, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a359c735e0c81908c4ba6ff52b3676f completed June 19, 2026, 7:45 p.m.
Created at: May 1, 2026, 1:38 a.m.