Triple

T38382924
Position Surface form Disambiguated ID Type / Status
Subject Vatican Shadow E893800 entity
Predicate notableWork P4 FINISHED
Object Media in the Service of Terror
Media in the Service of Terror is a dark, atmospheric industrial/ambient album by Vatican Shadow that explores themes of war, surveillance, and propaganda through minimalist electronic soundscapes.
E2268569 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: Media in the Service of Terror | Statement: [Vatican Shadow, notableWork, Media in the Service of Terror]
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: Media in the Service of Terror
Triple: [Vatican Shadow, notableWork, Media in the Service of Terror]
Generated description
Media in the Service of Terror is a dark, atmospheric industrial/ambient album by Vatican Shadow that explores themes of war, surveillance, and propaganda through minimalist electronic soundscapes.

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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd1954248190b23751e7546c9c6f completed May 7, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41b2a9157881908ee74e0315c8225d completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b34d3cbc8190a1b9a0a75783c568 completed June 28, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_6a41b52293148190ac9311da24bbbd7b completed June 28, 2026, 11:58 p.m.
Created at: May 3, 2026, 4:31 p.m.