Triple

T23859360
Position Surface form Disambiguated ID Type / Status
Subject Fat Music compilation series E592397 entity
Predicate featuresArtist P1952 FINISHED
Object The Real McKenzies
The Real McKenzies are a Canadian Celtic punk band known for blending traditional Scottish music with fast-paced punk rock energy.
E1604799 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: The Real McKenzies | Statement: [Fat Music compilation series, featuresArtist, The Real McKenzies]
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: The Real McKenzies
Triple: [Fat Music compilation series, featuresArtist, The Real McKenzies]
Generated description
The Real McKenzies are a Canadian Celtic punk band known for blending traditional Scottish music with fast-paced punk rock energy.

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_69e25d22eb488190914b193aff952e83 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cadebc6481909110a2a5fe85c93f completed April 29, 2026, 9:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69b7bc3c8190b79284f7e21d3bc4 completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d4205ac8190a2be21159c3117bf completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e67d3448190a8c2e2bde185afdf completed May 21, 2026, 8:43 p.m.
Created at: April 17, 2026, 8:12 p.m.