Triple

T31975935
Position Surface form Disambiguated ID Type / Status
Subject Sawyer Brown E816448 entity
Predicate notableSong P4 FINISHED
Object Six Days on the Road
"Six Days on the Road" is a popular country song, originally a 1963 truck-driving classic, that Sawyer Brown successfully revived with a hit cover version in the 1990s.
 E1987151 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: Six Days on the Road | Statement: [Sawyer Brown, notableSong, Six Days on the Road]
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: Six Days on the Road
Triple: [Sawyer Brown, notableSong, Six Days on the Road]
Generated description
"Six Days on the Road" is a popular country song, originally a 1963 truck-driving classic, that Sawyer Brown successfully revived with a hit cover version in the 1990s.

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_69f348f6a3008190bfb59ca695fd68e2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b344b24881908bf1da55fd9b3a97 completed May 3, 2026, 2:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb14cf0f88190a97174426cb191ca completed June 14, 2026, 1:49 p.m.
NEDg Description generation batch_6a2eb286d73881909e7a2352a3696226 completed June 14, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb43a83e48190821839ed8957d14c completed June 14, 2026, 2:01 p.m.
Created at: May 1, 2026, 12:11 a.m.