Triple

T32274922
Position Surface form Disambiguated ID Type / Status
Subject Flying Colors E824513 entity
Predicate recordLabel P1500 FINISHED
Object Music Theories Recordings
Music Theories Recordings is a record label known for releasing progressive rock and related genres, including albums by the supergroup Flying Colors.
E2000529 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: Music Theories Recordings | Statement: [Flying Colors, recordLabel, Music Theories Recordings]
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: Music Theories Recordings
Triple: [Flying Colors, recordLabel, Music Theories Recordings]
Generated description
Music Theories Recordings is a record label known for releasing progressive rock and related genres, including albums by the supergroup Flying Colors.

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_69f3490f404081908450db66884f4334 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc8dd9388190aa7b94307c4ca033 completed May 3, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46e3b46c819081d25f8e940946d6 completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f663b3c8c81909984366435eee4bd completed June 15, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a2f6d1c59808190aef65ddb236e87d4 completed June 15, 2026, 3:10 a.m.
Created at: May 1, 2026, 12:43 a.m.