Triple

T34663229
Position Surface form Disambiguated ID Type / Status
Subject The Cathedral Quartet E890176 entity
Predicate notableAlbum P4 FINISHED
Object Symphony of Praise
Symphony of Praise is a gospel music album by the Southern gospel group The Cathedral Quartet, showcasing their signature harmonies and inspirational songs.
E2106270 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: Symphony of Praise | Statement: [The Cathedral Quartet, notableAlbum, Symphony of Praise]
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: Symphony of Praise
Triple: [The Cathedral Quartet, notableAlbum, Symphony of Praise]
Generated description
Symphony of Praise is a gospel music album by the Southern gospel group The Cathedral Quartet, showcasing their signature harmonies and inspirational songs.

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_69f349d906bc8190b2efd9eff237d94b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722f429e8819087d585e9976f0024 completed May 3, 2026, 10:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a374901e21c81909363036548da3937 completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a374a5f91d0819099973d5e0356c3b8 completed June 21, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_6a374b28d43c8190bd3514cca5cbaa20 completed June 21, 2026, 2:23 a.m.
Created at: May 1, 2026, 2:04 a.m.