Triple

T32766217
Position Surface form Disambiguated ID Type / Status
Subject Coming Back to a Man E837907 entity
Predicate album P1995 FINISHED
Object Nothing Is Wrong
Nothing Is Wrong is a critically acclaimed 2011 folk-rock album by Dawes known for its warm, 1970s-inspired sound and introspective songwriting.
E200764 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: Nothing Is Wrong | Statement: [Coming Back to a Man, album, Nothing Is Wrong]
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: Nothing Is Wrong
Triple: [Coming Back to a Man, album, Nothing Is Wrong]
Generated description
Nothing Is Wrong is a critically acclaimed 2011 folk-rock album by Dawes known for its warm, 1970s-inspired sound and introspective songwriting.

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_69f34939857c8190aa9970c51feec1eb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd16cb548190a273b60794173958 completed May 3, 2026, 4:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576c98c0c81909ec8bcdabe6ece38 completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a35776bbb3c8190bda2a14ef5abdaf8 completed June 19, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_6a3577e82568819091390ca6df3cf66e completed June 19, 2026, 5:10 p.m.
Created at: May 1, 2026, 1:13 a.m.