Triple
T3241421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Mouse |
E67971
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Toontown |
E173784
|
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: Toontown | Statement: [Mickey Mouse, setting, Toontown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toontown Context triple: [Mickey Mouse, setting, Toontown]
-
A.
Mickey's Toontown
chosen
Mickey's Toontown is a whimsical, cartoon-themed land in Disney parks where guests can explore the colorful homes and neighborhoods of Mickey Mouse and his friends.
-
B.
Discoveryland
Discoveryland is a retro-futuristic themed land at Disneyland Paris inspired by the visionary works of Jules Verne and classic science fiction.
-
C.
Storybook Land
Storybook Land is a fairy tale–themed amusement park in Aberdeen, South Dakota, featuring storybook characters, themed rides, and attractions for young children and families.
-
D.
Nickelodeon Universe
Nickelodeon Universe is a large indoor theme park themed around Nickelodeon characters and shows, featuring rides, attractions, and entertainment for families and children.
-
E.
Sky Land
Sky Land is a high-altitude, cloud-filled world in Super Mario Bros. 3 known for its vertical level design and airborne challenges.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef76d908190815bb456e366ee0a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27754492c819099bab9a2a3344561 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.