Triple

T33849280
Position Surface form Disambiguated ID Type / Status
Subject A Portrait of Merle Haggard E867570 entity
Predicate hasTrack P3284 FINISHED
Object Where Does the Good Times Go
"Where Does the Good Times Go" is a country song by Merle Haggard featured on his album *A Portrait of Merle Haggard*.
 E2071793 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: Where Does the Good Times Go | Statement: [A Portrait of Merle Haggard, hasTrack, Where Does the Good Times Go]
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: Where Does the Good Times Go
Triple: [A Portrait of Merle Haggard, hasTrack, Where Does the Good Times Go]
Generated description
"Where Does the Good Times Go" is a country song by Merle Haggard featured on his album *A Portrait of Merle Haggard*.

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_69f349937b648190a34ada70f6a2b534 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f700714a908190ba78a2e5ac4c0261 completed May 3, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3676137d508190897b9a6b920e1c9e completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676bcd1c48190be60af977f59ab1c completed June 20, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a367856f37c8190a4ff255c3590592e completed June 20, 2026, 11:24 a.m.
Created at: May 1, 2026, 1:47 a.m.