Triple
T14190871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Haze 2 |
E351708
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ride the Wave
"Ride the Wave" is a track featured on the hip-hop album "Purple Haze 2" by Cam'ron.
|
E1086475
|
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: Ride the Wave | Statement: [Purple Haze 2, hasPart, Ride the Wave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ride the Wave Context triple: [Purple Haze 2, hasPart, Ride the Wave]
-
A.
Ride the Wild Surf
Ride the Wild Surf is a 1964 American surf film known for its big-wave surfing sequences and starring Tab Hunter, Fabian, and Shelley Fabares.
-
B.
The Perfect Wave
The Perfect Wave is a faith-based drama film that tells the true story of a young surfer’s spiritual awakening after a near-death experience.
-
C.
Don’t Make Waves
Don’t Make Waves is a 1967 American comedy film known for its satirical take on California beach culture and for featuring Sharon Tate in one of her most memorable early roles.
-
D.
My Wave
"My Wave" is a song by the American rock band Soundgarden from their 1994 album *Superunknown*, showcasing their heavy, experimental grunge sound and unusual time signatures.
-
E.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
- 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: Ride the Wave Triple: [Purple Haze 2, hasPart, Ride the Wave]
Generated description
"Ride the Wave" is a track featured on the hip-hop album "Purple Haze 2" by Cam'ron.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ride the Wave Target entity description: "Ride the Wave" is a track featured on the hip-hop album "Purple Haze 2" by Cam'ron.
-
A.
Ride the Wild Surf
Ride the Wild Surf is a 1964 American surf film known for its big-wave surfing sequences and starring Tab Hunter, Fabian, and Shelley Fabares.
-
B.
The Perfect Wave
The Perfect Wave is a faith-based drama film that tells the true story of a young surfer’s spiritual awakening after a near-death experience.
-
C.
Don’t Make Waves
Don’t Make Waves is a 1967 American comedy film known for its satirical take on California beach culture and for featuring Sharon Tate in one of her most memorable early roles.
-
D.
My Wave
"My Wave" is a song by the American rock band Soundgarden from their 1994 album *Superunknown*, showcasing their heavy, experimental grunge sound and unusual time signatures.
-
E.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1946eb68819096adf3c16a39818d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1eed1008819088635be43fbb1439 |
completed | May 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1f7c5d208190bab5d57e931fd082 |
completed | May 7, 2026, 11:25 p.m. |
Created at: April 10, 2026, 1:04 a.m.