Triple

T36528650
Position Surface form Disambiguated ID Type / Status
Subject The Seely Style E900379 entity
Predicate hasTrack P3284 FINISHED
Object You Don’t Have Very Far to Go
"You Don’t Have Very Far to Go" is a country song recorded by Waylon Jennings and included on his 1967 album *The Seely Style*.
 E2188124 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: You Don’t Have Very Far to Go | Statement: [The Seely Style, hasTrack, You Don’t Have Very Far to 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: You Don’t Have Very Far to Go
Triple: [The Seely Style, hasTrack, You Don’t Have Very Far to Go]
Generated description
"You Don’t Have Very Far to Go" is a country song recorded by Waylon Jennings and included on his 1967 album *The Seely Style*.

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_69f76e5eedb88190a393b8c623f71dd7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c219febc81909d16454f7efbbc04 completed May 3, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbe5493c819080855b9037ae0473 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39ddb13a3c819084bac2ffcdfbbebd completed June 23, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a39e17cb03c8190830fe006a9dd4455 completed June 23, 2026, 1:29 a.m.
Created at: May 3, 2026, 4:11 p.m.