Triple

T6463374
Position Surface form Disambiguated ID Type / Status
Subject Year of the Dog... Again E142173 entity
Predicate hasTrack P3284 FINISHED
Object We Go Hard
"We Go Hard" is a hip-hop track by DMX featured on his album "Year of the Dog... Again."
E594121 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: We Go Hard | Statement: [Year of the Dog... Again, hasTrack, We Go Hard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: We Go Hard
Context triple: [Year of the Dog... Again, hasTrack, We Go Hard]
  • A. We Go High
    "We Go High" is a track by Chance the Rapper from his debut studio album "The Big Day," blending introspective lyrics with gospel and hip-hop influences.
  • B. As We Go
    As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
  • C. "Go Hard"
    "Go Hard" is a track from Lil Wayne’s 2002 studio album *500 Degreez*, showcasing his early Southern hip hop style.
  • D. Hustle Harder
    "Hustle Harder" is a hip-hop track by Common from his album "Nobody's Smiling," reflecting themes of perseverance and street struggle.
  • E. Get Hard
    Get Hard is a 2015 American comedy film starring Will Ferrell and Kevin Hart, centered on a wealthy businessman preparing for prison with the help of a small-time car washer.
  • 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: We Go Hard
Triple: [Year of the Dog... Again, hasTrack, We Go Hard]
Generated description
"We Go Hard" is a hip-hop track by DMX featured on his album "Year of the Dog... Again."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: We Go Hard
Target entity description: "We Go Hard" is a hip-hop track by DMX featured on his album "Year of the Dog... Again."
  • A. We Go High
    "We Go High" is a track by Chance the Rapper from his debut studio album "The Big Day," blending introspective lyrics with gospel and hip-hop influences.
  • B. As We Go
    As We Go is a collection of essays by American writer and editor Charles Dudley Warner, reflecting his observations on everyday life and society in the late 19th century.
  • C. "Go Hard"
    "Go Hard" is a track from Lil Wayne’s 2002 studio album *500 Degreez*, showcasing his early Southern hip hop style.
  • D. Hustle Harder
    "Hustle Harder" is a hip-hop track by Common from his album "Nobody's Smiling," reflecting themes of perseverance and street struggle.
  • E. Get Hard
    Get Hard is a 2015 American comedy film starring Will Ferrell and Kevin Hart, centered on a wealthy businessman preparing for prison with the help of a small-time car washer.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f9b58081909412b9da753b9285 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be78ae48190b38390ed245694fb completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64cd369048190bc0702592083a909 completed March 27, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c64d911a1881908b280636365a4858 completed March 27, 2026, 9:27 a.m.
Created at: March 22, 2026, 4:49 p.m.