Triple
T36301718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heart of Stone |
E893833
|
entity |
| Predicate | hasArtificialIntelligenceElement |
P48031
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Heart of Stone, hasArtificialIntelligenceElement, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtificialIntelligenceElement Context triple: [Heart of Stone, hasArtificialIntelligenceElement, yes]
-
A.
hasAI
chosen
Indicates that one entity possesses, incorporates, or is equipped with an artificial intelligence system.
-
B.
hasArtificialComponent
Indicates that an entity includes, contains, or is composed of at least one non-natural, human-made component.
-
C.
isArtificial
Indicates that an entity is man-made or produced by human design rather than occurring naturally.
-
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.
hasNeuralNetwork
Indicates that an entity possesses, incorporates, or is equipped with a neural network.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 3, 2026, 4:09 p.m.