Triple

T23964717
Position Surface form Disambiguated ID Type / Status
Subject Citizen As a Peaceful Dub E604033 entity
Predicate isDubVersionOf P78363 FINISHED
Object Citizen As a Peaceful Man
"Citizen As a Peaceful Man" is a reggae track by the artist Citizen, known in part through its dub counterpart "Citizen As a Peaceful Dub."
E1611277 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: Citizen As a Peaceful Man | Statement: [Citizen As a Peaceful Dub, isDubVersionOf, Citizen As a Peaceful Man]
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: Citizen As a Peaceful Man
Triple: [Citizen As a Peaceful Dub, isDubVersionOf, Citizen As a Peaceful Man]
Generated description
"Citizen As a Peaceful Man" is a reggae track by the artist Citizen, known in part through its dub counterpart "Citizen As a Peaceful Dub."

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_69e29543019c8190872462e593cc50b4 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d1d7077881909d4774b7040cd722 completed April 29, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f765cc3508190b5f745ed932f7eab completed May 21, 2026, 9:17 p.m.
NEDg Description generation batch_6a0f770ade44819086d5ad4e46c3f099 completed May 21, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0f77bd3f688190bbc8612330e6a5f0 completed May 21, 2026, 9:23 p.m.
Created at: April 17, 2026, 9:24 p.m.