Triple
T37129697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ty Burrell as Mr. Peabody |
E919482
|
entity |
| Predicate | characterIntelligenceLevel |
P11340
|
FINISHED |
| Object | genius |
—
|
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: genius | Statement: [Ty Burrell as Mr. Peabody, characterIntelligenceLevel, genius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterIntelligenceLevel Context triple: [Ty Burrell as Mr. Peabody, characterIntelligenceLevel, genius]
-
A.
typeOfIntelligence
Indicates that one entity is a specific kind or category of intelligence in relation to another entity.
-
B.
intelligenceLevel
chosen
Indicates the degree or measure of cognitive ability or intelligence attributed to an entity.
-
C.
hasIQ
Indicates that an entity possesses a specific intelligence quotient (IQ) value or score.
-
D.
intelligenceService
Indicates that one entity functions as an intelligence or security service organization for another entity.
-
E.
characterComplexity
Indicates the degree to which a character exhibits depth, nuance, and multifaceted traits within a narrative or context.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:15 p.m.