Triple
T7715625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stilton Cheesewright |
E174871
|
entity |
| Predicate | intellect |
P11340
|
FINISHED |
| Object | dim-witted |
—
|
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: dim-witted | Statement: [Stilton Cheesewright, intellect, dim-witted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intellect Context triple: [Stilton Cheesewright, intellect, dim-witted]
-
A.
usesIntelligence
Indicates that an entity applies mental abilities such as reasoning, problem-solving, or understanding to perform an action or achieve a goal.
-
B.
typeOfIntelligence
Indicates that one entity is a specific kind or category of intelligence in relation to another entity.
-
C.
intelligenceLevel
chosen
Indicates the degree or measure of cognitive ability or intelligence attributed to an entity.
-
D.
brain
Indicates that an entity functions as the brain (central cognitive or control organ) of another entity.
-
E.
providesIntelligenceTo
Indicates that one entity supplies information, analysis, or insight that enhances the knowledge or decision-making capability of another entity.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.