Triple
T28375362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mater's Junkyard Jamboree |
E718741
|
entity |
| Predicate | hasSimilarAttraction |
P63483
|
FINISHED |
| Object |
The Happy Ride with Baymax
The Happy Ride with Baymax is a spinning, whip-style family attraction at Tokyo Disneyland themed to Big Hero 6, where guests are pulled around in unpredictable patterns by personal healthcare companion Baymax.
|
E1813922
|
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: The Happy Ride with Baymax | Statement: [Mater's Junkyard Jamboree, hasSimilarAttraction, The Happy Ride with Baymax]
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: The Happy Ride with Baymax Triple: [Mater's Junkyard Jamboree, hasSimilarAttraction, The Happy Ride with Baymax]
Generated description
The Happy Ride with Baymax is a spinning, whip-style family attraction at Tokyo Disneyland themed to Big Hero 6, where guests are pulled around in unpredictable patterns by personal healthcare companion Baymax.
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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5e2f8c81909622f2f7e2093295 |
completed | May 2, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1627d998848190bb75626a3c441dba |
completed | May 26, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_6a1629cc5c108190a1c0d533c8845925 |
completed | May 26, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a162a528ff8819090b6069a04b7758f |
completed | May 26, 2026, 11:18 p.m. |
Created at: April 28, 2026, 1:02 a.m.