Triple
T17907217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kids Next Door |
E447732
|
entity |
| Predicate | fictionalScope |
P116462
|
FINISHED |
| Object | global organization |
—
|
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: global organization | Statement: [Kids Next Door, fictionalScope, global organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalScope Context triple: [Kids Next Door, fictionalScope, global organization]
-
A.
fictionalFocus
Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
-
B.
hasFictionalScope
chosen
Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
-
C.
fictionalCirculationScope
Indicates the scope or extent within which a fictional work or fictional content is distributed, shared, or made available.
-
D.
fictionalOrigin
Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
-
E.
fictionalContent
Indicates that one entity is content whose subject matter, events, or characters are imaginary or invented rather than factual.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9d458881909e35e1c7a6e85436 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.