Triple
T5136769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagrid's Magical Creatures Motorbike Adventure |
E115844
|
entity |
| Predicate | hasAnimatronics |
P58268
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hagrid's Magical Creatures Motorbike Adventure, hasAnimatronics, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimatronics Context triple: [Hagrid's Magical Creatures Motorbike Adventure, hasAnimatronics, true]
-
A.
hasAnimatedFigures
chosen
Indicates that something contains or features figures that are animated or capable of motion.
-
B.
hasExoskeleton
Indicates that an entity possesses an external supportive or protective skeletal structure covering its body.
-
C.
isAnthropomorphic
Indicates that something non-human is given human-like characteristics, form, or behavior.
-
D.
hasCybernetic
Indicates that an entity possesses or is equipped with cybernetic enhancements, implants, or components.
-
E.
usesComputerAnimationFor
Indicates that something employs computer-generated animation techniques to create or enhance its visual content or effects.
- F. None of above.
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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.