Triple
T11337785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas Hedges |
E268512
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Gabe in Waves
Gabe in *Waves* is a troubled high-school wrestler whose emotional struggles and family pressures drive much of the film’s intense coming-of-age drama.
|
E918393
|
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: Gabe in Waves | Statement: [Lucas Hedges, notableRole, Gabe in Waves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabe in Waves Context triple: [Lucas Hedges, notableRole, Gabe in Waves]
-
A.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
-
B.
Waves
The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
-
C.
Waves
"Waves" is a melodic, gospel-influenced hip-hop song by Kanye West featuring Chris Brown and Kid Cudi, known for its soaring chorus and spiritual themes.
-
D.
Waves
"Waves" is a smooth, atmospheric R&B song by Miguel that showcases his sensual vocals and genre-blending production.
-
E.
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.
- 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: Gabe in Waves Triple: [Lucas Hedges, notableRole, Gabe in Waves]
Generated description
Gabe in *Waves* is a troubled high-school wrestler whose emotional struggles and family pressures drive much of the film’s intense coming-of-age drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabe in Waves Target entity description: Gabe in *Waves* is a troubled high-school wrestler whose emotional struggles and family pressures drive much of the film’s intense coming-of-age drama.
-
A.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
-
B.
Waves
The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
-
C.
Waves
"Waves" is a melodic, gospel-influenced hip-hop song by Kanye West featuring Chris Brown and Kid Cudi, known for its soaring chorus and spiritual themes.
-
D.
Waves
"Waves" is a smooth, atmospheric R&B song by Miguel that showcases his sensual vocals and genre-blending production.
-
E.
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.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5264174d481908db15fb9f644f21d |
completed | April 19, 2026, 7 p.m. |
| NEDg | Description generation | batch_69e52c84518881909e6e2a593348a81a |
completed | April 19, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531d23ba481909de04fc49ccd9f1e |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:33 p.m.