Triple

T38265146
Position Surface form Disambiguated ID Type / Status
Subject Mayer Hawthorne E1021035 entity
Predicate notableWork P4 FINISHED
Object How Do You Do
"How Do You Do" is a retro-soul studio album by American singer-songwriter Mayer Hawthorne that blends classic Motown influences with contemporary R&B and pop sensibilities.
 E2261971 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: How Do You Do | Statement: [Mayer Hawthorne, notableWork, How Do You Do]
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: How Do You Do
Triple: [Mayer Hawthorne, notableWork, How Do You Do]
Generated description
"How Do You Do" is a retro-soul studio album by American singer-songwriter Mayer Hawthorne that blends classic Motown influences with contemporary R&B and pop sensibilities.

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_69f76dee198c8190bf5109421e47a658 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb1c148c08190b57705896d2e3277 completed May 7, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4193d6fed081909b857427928b1ee3 completed June 28, 2026, 9:36 p.m.
NEDg Description generation batch_6a4194386c2081908f489f29042091a7 completed June 28, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a4194ae849c8190ad01ba5ede914085 completed June 28, 2026, 9:39 p.m.
Created at: May 3, 2026, 4:30 p.m.