Triple
T3571383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worlds of Fun |
E75577
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Scrambler
Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
|
E368797
|
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: Scrambler | Statement: [Worlds of Fun, hasAttraction, Scrambler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scrambler Context triple: [Worlds of Fun, hasAttraction, Scrambler]
-
A.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
B.
Doom Buggy
Doom Buggy is the iconic black, omnimover ride vehicle that transports guests through Disney’s Haunted Mansion attraction.
-
C.
Whizzer
Whizzer was the well-known nickname of Byron Raymond White, a prominent American football player who later became an Associate Justice of the U.S. Supreme Court.
-
D.
Whizzer
Whizzer is a Golden Age Marvel Comics superhero known for his super-speed and membership in the World War II-era team the Invaders.
-
E.
T-Rac
T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
- 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: Scrambler Triple: [Worlds of Fun, hasAttraction, Scrambler]
Generated description
Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scrambler Target entity description: Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
-
A.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
B.
Doom Buggy
Doom Buggy is the iconic black, omnimover ride vehicle that transports guests through Disney’s Haunted Mansion attraction.
-
C.
Whizzer
Whizzer was the well-known nickname of Byron Raymond White, a prominent American football player who later became an Associate Justice of the U.S. Supreme Court.
-
D.
Whizzer
Whizzer is a Golden Age Marvel Comics superhero known for his super-speed and membership in the World War II-era team the Invaders.
-
E.
T-Rac
T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c32624819097a96b3d62e3d8f0 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbbcf2d08190901049948df66f0c |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bca07cac81908253b2b4225f3d67 |
completed | March 13, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b6e66c81908700d5f3df0a864d |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.