Triple
T28172559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers Campus at Disney California Adventure |
E715498
|
entity |
| Predicate | featuresStuntShow |
P196359
|
FINISHED |
| Object | Spider-Man rooftop stunt show |
—
|
LITERAL 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: Spider-Man rooftop stunt show | Statement: [Avengers Campus at Disney California Adventure, featuresStuntShow, Spider-Man rooftop stunt show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStuntShow Context triple: [Avengers Campus at Disney California Adventure, featuresStuntShow, Spider-Man rooftop stunt show]
-
A.
featuresSlapstick
Indicates that the subject includes or prominently uses slapstick-style physical comedy in its content or presentation.
-
B.
featuresStarPower
Indicates that something prominently includes or showcases a highly famous or celebrated person or talent.
-
C.
featuresStar
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
D.
specialFeatures
Indicates the distinctive or additional characteristics, functionalities, or attributes that set an entity apart from standard or typical versions.
-
E.
featuresPreShow
Indicates that one entity includes or presents a pre-show segment or content associated with another entity.
- F. None of above. chosen
Provenance (4 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69fe2f066ac48190882c327b7e69e53f |
completed | May 8, 2026, 6:44 p.m. |
Created at: April 27, 2026, 10:13 p.m.