Triple

T31888350
Position Surface form Disambiguated ID Type / Status
Subject Le Studio E814066 entity
Predicate nickname P55 FINISHED
Object The Abbey Road of the North
The Abbey Road of the North is the famed nickname of Le Studio, a legendary Canadian recording studio renowned for hosting major rock and pop artists in the 1970s and 1980s.
E1983446 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 Abbey Road of the North | Statement: [Le Studio, nickname, The Abbey Road of the North]
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 Abbey Road of the North
Triple: [Le Studio, nickname, The Abbey Road of the North]
Generated description
The Abbey Road of the North is the famed nickname of Le Studio, a legendary Canadian recording studio renowned for hosting major rock and pop artists in the 1970s and 1980s.

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_69f348ef817481908440e2250319bcc8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b0f115f88190ad7cacf3b6d15245 completed May 3, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e7fe833a48190bfc2dcfb9a2d8d05 completed June 14, 2026, 10:18 a.m.
NEDg Description generation batch_6a2e8071a2c0819091ed05c5b73ce899 completed June 14, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a2e84c760408190a96c2b029ab20381 completed June 14, 2026, 10:39 a.m.
Created at: April 30, 2026, 11:57 p.m.