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.