Triple

T32698516
Position Surface form Disambiguated ID Type / Status
Subject Justin Broadrick E836076 entity
Predicate associatedAct P37 FINISHED
Object God
God is an industrial metal band formed by Kevin Martin in the late 1980s, known for its experimental fusion of noise, free jazz, and heavy music, and for collaborations with musicians like Justin Broadrick.
E2020644 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: God | Statement: [Justin Broadrick, associatedAct, God]
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: God
Triple: [Justin Broadrick, associatedAct, God]
Generated description
God is an industrial metal band formed by Kevin Martin in the late 1980s, known for its experimental fusion of noise, free jazz, and heavy music, and for collaborations with musicians like Justin Broadrick.

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_69f3493323288190a4e88251035fe96e completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c84b39a481908935e1ec690e566f completed May 3, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7a0869c8190aa4769d4e34e4de6 completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a84e9e3881909614d79de44dd3cc completed June 19, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a34a8dde9f48190b9912c18f2470edf completed June 19, 2026, 2:26 a.m.
Created at: May 1, 2026, 1:10 a.m.