Triple

T9429892
Position Surface form Disambiguated ID Type / Status
Subject Washed Out E227344 entity
Predicate hasEP P22078 FINISHED
Object High Times
High Times is an early chillwave EP by American musician Washed Out, showcasing his lo-fi, dreamy electronic sound.
E799645 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: High Times | Statement: [Washed Out, hasEP, High Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Times
Context triple: [Washed Out, hasEP, High Times]
  • A. Spliff Star
    Spliff Star is an American rapper and hype man best known for his longtime collaboration and energetic stage performances alongside Busta Rhymes.
  • B. I Get High
    "I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
  • C. Smokin'
    Smokin' is the blues-rock debut album by American guitarist and singer Jonny Lang, showcasing his prodigious talent at a very young age.
  • D. Blotter
    Blotter is a celebrated painting by contemporary artist Peter Doig, known for its dreamlike atmosphere and evocative, semi-figurative style.
  • E. Up in Smoke
    Up in Smoke is a 1978 stoner comedy film starring Cheech Marin and Tommy Chong that became a cult classic and launched their popular movie franchise.
  • 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: High Times
Triple: [Washed Out, hasEP, High Times]
Generated description
High Times is an early chillwave EP by American musician Washed Out, showcasing his lo-fi, dreamy electronic sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: High Times
Target entity description: High Times is an early chillwave EP by American musician Washed Out, showcasing his lo-fi, dreamy electronic sound.
  • A. Spliff Star
    Spliff Star is an American rapper and hype man best known for his longtime collaboration and energetic stage performances alongside Busta Rhymes.
  • B. I Get High
    "I Get High" is a popular hip-hop single by rapper Styles P, best known for its smooth, soulful production and its candid celebration of marijuana use.
  • C. Smokin'
    Smokin' is the blues-rock debut album by American guitarist and singer Jonny Lang, showcasing his prodigious talent at a very young age.
  • D. Blotter
    Blotter is a celebrated painting by contemporary artist Peter Doig, known for its dreamlike atmosphere and evocative, semi-figurative style.
  • E. Up in Smoke
    Up in Smoke is a 1978 stoner comedy film starring Cheech Marin and Tommy Chong that became a cult classic and launched their popular movie franchise.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c94719c81909d7743a57c45e07f completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11038f7b88190bd6b895f5544c63e completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:49 p.m.