Triple
T5039607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickelodeon Movies |
E113510
|
entity |
| Predicate | basedOnPropertiesFrom |
P7125
|
FINISHED |
| Object | Nickelodeon animated series |
—
|
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: Nickelodeon animated series | Statement: [Nickelodeon Movies, basedOnPropertiesFrom, Nickelodeon animated series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnPropertiesFrom Context triple: [Nickelodeon Movies, basedOnPropertiesFrom, Nickelodeon animated series]
-
A.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
B.
isBasedOn
chosen
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
C.
areBasedOn
Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
-
D.
basedOnProcess
Indicates that something is derived from, determined by, or dependent on a particular process or sequence of actions.
-
E.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73dbf00c819094b67809dafdecc6 |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.