Triple

T1017080
Position Surface form Disambiguated ID Type / Status
Subject Dwight Yoakam E21954 entity
Predicate notableWork P4 FINISHED
Object Fast as You
"Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
 E121623 NE FINISHED

How this triple was built (4 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: Fast as You | Statement: [Dwight Yoakam, notableWork, Fast as You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fast as You
Context triple: [Dwight Yoakam, notableWork, Fast as You]
  • A. Come and Get It
    Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
  • B. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • C. How Low
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • D. Achin’ to Be
    "Achin’ to Be" is a punk rock song by the American band Pinhead Gunpowder, known for its melodic hooks and association with Green Day’s Billie Joe Armstrong.
  • E. They Say
    "They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Fast as You
Triple: [Dwight Yoakam, notableWork, Fast as You]
Generated description
"Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fast as You
Target entity description: "Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
  • A. Come and Get It
    Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
  • B. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • C. How Low
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • D. Achin’ to Be
    "Achin’ to Be" is a punk rock song by the American band Pinhead Gunpowder, known for its melodic hooks and association with Green Day’s Billie Joe Armstrong.
  • E. They Say
    "They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
  • F. None of above. chosen

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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c4d488819081d8214ba0a22fe5 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb1b0bc819095af3b50bfebca1e completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3dd441fc8190ad462aa07e9c8c9b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.