Triple

T29959277
Position Surface form Disambiguated ID Type / Status
Subject IFPI Global Album of the Year E760993 entity
Predicate hasWinner P6361 FINISHED
Object The Weeknd – After Hours
The Weeknd – After Hours is a critically acclaimed 2020 R&B/pop album known for its dark, cinematic sound and massive global hits like “Blinding Lights.”
 E1892557 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 Weeknd – After Hours | Statement: [IFPI Global Album of the Year, hasWinner, The Weeknd – After Hours]
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 Weeknd – After Hours
Triple: [IFPI Global Album of the Year, hasWinner, The Weeknd – After Hours]
Generated description
The Weeknd – After Hours is a critically acclaimed 2020 R&B/pop album known for its dark, cinematic sound and massive global hits like “Blinding Lights.”

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_69f22466327481908ba6db916837bece completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6783d1944819080f26d4d2fdd1256 completed May 2, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2714398f448190a8f06a98a4e008d9 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714e1c8e481908c45710cfa349f8c completed June 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2719b5235c819090f3a34d8e2478b0 completed June 8, 2026, 7:36 p.m.
Created at: April 29, 2026, 6:28 p.m.