Triple

T38305270
Position Surface form Disambiguated ID Type / Status
Subject This Is M.E. E1032327 entity
Predicate hasTrack P3284 FINISHED
Object Ain’t That Bad
"Ain’t That Bad" is a song by Melissa Etheridge from her 2014 studio album *This Is M.E.*
 E2263840 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: Ain’t That Bad | Statement: [This Is M.E., hasTrack, Ain’t That Bad]
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: Ain’t That Bad
Triple: [This Is M.E., hasTrack, Ain’t That Bad]
Generated description
"Ain’t That Bad" is a song by Melissa Etheridge from her 2014 studio album *This Is M.E.*

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_69f76e0f2084819091299d021625c3fe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc61ddf388190956edc56f74fa49c completed May 7, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7e16aac8190815325f6d200f8c9 completed June 28, 2026, 11:01 p.m.
NEDg Description generation batch_6a41abe8e4588190a5d42e50c6504ad2 completed June 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_6a41ac3ff4348190a3a55ba2cfc880d9 completed June 28, 2026, 11:20 p.m.
Created at: May 3, 2026, 4:30 p.m.