Triple
T12426686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Waters |
E296915
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Happy Campers
Happy Campers is a dark teen comedy film about dysfunctional summer camp counselors, known for its offbeat tone and satirical take on coming-of-age stories.
|
E981930
|
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: Happy Campers | Statement: [Daniel Waters, directed, Happy Campers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Campers Context triple: [Daniel Waters, directed, Happy Campers]
-
A.
Happy People
"Happy People" is an upbeat R&B song by R. Kelly known for its feel-good, dance-oriented vibe and popularity at parties and celebrations.
-
B.
Happy Trails
"Happy Trails" is a classic American Western song closely associated with singing cowboy Roy Rogers and often used as a cheerful farewell tune.
-
C.
Happyish
Happyish is a dark comedy-drama television series that satirizes modern advertising, middle age, and the pursuit of happiness.
-
D.
Campamento
Campamento is a Madrid Metro station on Line 5 serving the Campamento neighborhood in the Latina district of Madrid, Spain.
-
E.
Up Park Camp
Up Park Camp is the main military headquarters of the Jamaica Defence Force, located in Kingston, Jamaica.
- 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: Happy Campers Triple: [Daniel Waters, directed, Happy Campers]
Generated description
Happy Campers is a dark teen comedy film about dysfunctional summer camp counselors, known for its offbeat tone and satirical take on coming-of-age stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happy Campers Target entity description: Happy Campers is a dark teen comedy film about dysfunctional summer camp counselors, known for its offbeat tone and satirical take on coming-of-age stories.
-
A.
Happy People
"Happy People" is an upbeat R&B song by R. Kelly known for its feel-good, dance-oriented vibe and popularity at parties and celebrations.
-
B.
Happy Trails
"Happy Trails" is a classic American Western song closely associated with singing cowboy Roy Rogers and often used as a cheerful farewell tune.
-
C.
Happyish
Happyish is a dark comedy-drama television series that satirizes modern advertising, middle age, and the pursuit of happiness.
-
D.
Campamento
Campamento is a Madrid Metro station on Line 5 serving the Campamento neighborhood in the Latina district of Madrid, Spain.
-
E.
Up Park Camp
Up Park Camp is the main military headquarters of the Jamaica Defence Force, located in Kingston, Jamaica.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ccda08190be2ff1739c1c6855 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63499061881908d25af7c3474f774 |
completed | May 2, 2026, 5:30 p.m. |
| NEDg | Description generation | batch_69f636cf7d808190bf3c1c84bdaf414e |
completed | May 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:55 p.m.