Triple

T36576012
Position Surface form Disambiguated ID Type / Status
Subject Dominick Fernow E902253 entity
Predicate notableRelease P13405 FINISHED
Object Prurient – Bermuda Drain
Prurient – Bermuda Drain is a critically acclaimed 2011 album by Dominick Fernow’s noise project Prurient that blends harsh noise, industrial, and dark electronic elements into one of his most accessible yet unsettling works.
 E2189976 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: Prurient – Bermuda Drain | Statement: [Dominick Fernow, notableRelease, Prurient – Bermuda Drain]
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: Prurient – Bermuda Drain
Triple: [Dominick Fernow, notableRelease, Prurient – Bermuda Drain]
Generated description
Prurient – Bermuda Drain is a critically acclaimed 2011 album by Dominick Fernow’s noise project Prurient that blends harsh noise, industrial, and dark electronic elements into one of his most accessible yet unsettling works.

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_69f76e64d8908190868473959a250b94 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c2a44f0881908418becdb2d0f92a completed May 3, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39f912666c8190bcf828d693419791 completed June 23, 2026, 3:10 a.m.
NEDg Description generation batch_6a39fa087dc881908f4220377de4a91a completed June 23, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a39fa95a6ec8190a835a2a1b735c885 completed June 23, 2026, 3:16 a.m.
Created at: May 3, 2026, 4:11 p.m.