Triple
T29208275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is America, Charlie Brown |
E740476
|
entity |
| Predicate | featuresCharacterUniverse |
P29709
|
FINISHED |
| Object | Peanuts |
—
|
NE NERFINISHED |
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: Peanuts | Statement: [This Is America, Charlie Brown, featuresCharacterUniverse, Peanuts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCharacterUniverse Context triple: [This Is America, Charlie Brown, featuresCharacterUniverse, Peanuts]
-
A.
featuresCharactersFrom
chosen
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
B.
creatorsUniverse
Indicates a relationship where one or more creators are responsible for originating, designing, or establishing a particular universe.
-
C.
hasFictionalUniverseElement
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
-
D.
hasFictionalUniverseProperty
Indicates that a fictional universe possesses a specific characteristic, attribute, or property.
-
E.
featuresCharacterWith
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: April 28, 2026, 12:10 p.m.