Triple
T17445266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calum Worthy |
E424763
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Aquaslash |
—
|
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: Aquaslash | Statement: [Calum Worthy, performedIn, Aquaslash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aquaslash Context triple: [Calum Worthy, performedIn, Aquaslash]
-
A.
Aquaslash
chosen
Aquaslash is a 2019 Canadian slasher horror-comedy film set in a water park, known for its over-the-top gore and darkly humorous take on teen slasher tropes.
-
B.
Frosch
Frosch is the surname of Robert A. Frosch, an American scientist and former NASA administrator known for his contributions to space research and environmental policy.
-
C.
SandSerpent
SandSerpent is a desert-themed thrill attraction in the Pantopia area of Busch Gardens Tampa Bay, known for its wild-mouse style coaster layout and tight, winding turns.
-
D.
Mutilus
Mutilus is the cognomen of Gaius Papius Mutilus, a prominent Samnite leader during the Roman Social War.
-
E.
Flega
Flega is the summit of Mount Smolikas, one of the highest and most prominent peaks in Greece.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffafec48190b25980318cea353f |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.