Triple
T22798045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Water High |
E564302
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Blue Water High: The Surf Academy |
—
|
NE NERFINISHED |
How this triple was built (2 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: Blue Water High: The Surf Academy | Statement: [Blue Water High, alsoKnownAs, Blue Water High: The Surf Academy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Water High: The Surf Academy Context triple: [Blue Water High, alsoKnownAs, Blue Water High: The Surf Academy]
-
A.
Blue Water High
chosen
Blue Water High is an Australian teen drama television series centered on a group of young surfers attending an elite surf academy.
-
B.
Surf's Up!
Surf's Up! is a surfing-themed accommodation area within Disney's All-Star Sports Resort at Walt Disney World.
-
C.
Surf Ninjas
Surf Ninjas is a 1993 action-comedy film that blends martial arts, surfing culture, and slapstick humor in a lighthearted adventure aimed at younger audiences.
-
D.
Lifeguard
Lifeguard is a 1976 American drama film about a veteran beach lifeguard facing a midlife crisis and questioning his life choices.
-
E.
Lifeguard
Lifeguard is a Marvel Comics superheroine, primarily associated with the X-Men, whose adaptive powers allow her body to transform to meet whatever physical needs a situation demands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cda76448190891c5190e1d75ae0 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.