Triple
T20263421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Flags Magic Mountain |
E498901
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object | Riddler's Revenge |
—
|
NE NERFINISHED |
How this triple was built (3 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: Riddler's Revenge | Statement: [Six Flags Magic Mountain, hasRollerCoaster, Riddler's Revenge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riddler's Revenge Context triple: [Six Flags Magic Mountain, hasRollerCoaster, Riddler's Revenge]
-
A.
Riddler
The Riddler is a Gotham City supervillain and criminal mastermind in the Batman universe, obsessed with leaving riddles and puzzles as clues to his elaborate crimes.
-
B.
Regal Ransom
Regal Ransom is an American Thoroughbred racehorse best known for winning the 2009 UAE Derby and competing in major international races.
-
C.
The Renegade
"The Renegade" is a short story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that explores themes of cruelty, conformity, and the dark undercurrents of everyday life.
-
D.
The Mad Game
The Mad Game is a 1933 American crime drama film starring Spencer Tracy and Claire Trevor, centered on a reformed bootlegger who goes undercover to help the police.
-
E.
The Trick
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riddler's Revenge Target entity description: Riddler's Revenge is a renowned stand-up roller coaster at Six Flags Magic Mountain known for its intense inversions and DC Comics supervillain theme.
-
A.
Riddler
The Riddler is a Gotham City supervillain and criminal mastermind in the Batman universe, obsessed with leaving riddles and puzzles as clues to his elaborate crimes.
-
B.
Regal Ransom
Regal Ransom is an American Thoroughbred racehorse best known for winning the 2009 UAE Derby and competing in major international races.
-
C.
The Renegade
"The Renegade" is a short story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that explores themes of cruelty, conformity, and the dark undercurrents of everyday life.
-
D.
The Mad Game
The Mad Game is a 1933 American crime drama film starring Spencer Tracy and Claire Trevor, centered on a reformed bootlegger who goes undercover to help the police.
-
E.
The Trick
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
- F. None of above. chosen
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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.