Triple

T30661001
Position Surface form Disambiguated ID Type / Status
Subject James Brown Productions E780525 entity
Predicate associatedWith P37 FINISHED
Object James Brown Revue
The James Brown Revue was a high-energy touring soul and funk roadshow led by James Brown, featuring his band, backup singers, and associated acts in tightly choreographed, marathon live performances.
E788114 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: James Brown Revue | Statement: [James Brown Productions, associatedWith, James Brown Revue]
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: James Brown Revue
Triple: [James Brown Productions, associatedWith, James Brown Revue]
Generated description
The James Brown Revue was a high-energy touring soul and funk roadshow led by James Brown, featuring his band, backup singers, and associated acts in tightly choreographed, marathon live performances.

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_69f224a6d10481909290be1a00fc83b3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68ae11be08190bd6eba4e1ecc971c completed May 2, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2898cd01488190a74575184d2fa7af completed June 9, 2026, 10:50 p.m.
NEDg Description generation batch_6a2899a5f87881909200941832511700 completed June 9, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_6a289ad889f8819081a06ba9e3e19f1d completed June 9, 2026, 10:59 p.m.
Created at: April 29, 2026, 8:31 p.m.