Triple
T11794590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shulker |
E280471
|
entity |
| Predicate | AI |
P100765
|
FINISHED |
| Object | Opens shell to attack |
—
|
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: Opens shell to attack | Statement: [Shulker, AI, Opens shell to attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AI Context triple: [Shulker, AI, Opens shell to attack]
-
A.
hasAI
Indicates that one entity possesses, incorporates, or is equipped with an artificial intelligence system.
-
B.
primaryAI
Indicates that an AI system is designated as the main or most important artificial intelligence within a given context or configuration.
-
C.
usesNeuralNetworks
Indicates that one entity employs neural network models or techniques as part of its functioning, processing, or decision-making.
-
D.
usesIntelligence
Indicates that an entity applies mental abilities such as reasoning, problem-solving, or understanding to perform an action or achieve a goal.
-
E.
aiBehavior
chosen
Indicates how an artificial intelligence system acts or responds under given conditions or stimuli.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.