Triple
T3088286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story Land |
E64426
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Slinky Dog Dash |
E64429
|
NE FINISHED |
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: Slinky Dog Dash | Statement: [Toy Story Land, hasAttraction, Slinky Dog Dash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slinky Dog Dash Context triple: [Toy Story Land, hasAttraction, Slinky Dog Dash]
-
A.
Slinky Dog Dash
chosen
Slinky Dog Dash is a family-friendly launched roller coaster in Toy Story Land themed around Slinky Dog from Pixar’s Toy Story films.
-
B.
Slinky Dog
Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
-
C.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
D.
Running Dog
Running Dog is a 1978 novel by Don DeLillo that blends political intrigue, media satire, and conspiracy surrounding a rumored pornographic film of Adolf Hitler.
-
E.
Ace the Greyhound
Ace the Greyhound is the costumed canine mascot representing the University of Indianapolis at its athletic events and campus activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada209fd24819088d887de0a4158f4 |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8a1fdc48190ae1c2fb9e5198336 |
completed | March 11, 2026, 11:20 p.m. |
Created at: March 8, 2026, 3:03 p.m.