Triple
T27103204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Von Drake's House of Genius |
E686494
|
entity |
| Predicate | isSpinOffElementOf |
P41709
|
FINISHED |
| Object | Disney television animation |
—
|
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: Disney television animation | Statement: [Von Drake's House of Genius, isSpinOffElementOf, Disney television animation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpinOffElementOf Context triple: [Von Drake's House of Genius, isSpinOffElementOf, Disney television animation]
-
A.
hasSpinOff
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
B.
spinoffMemberOf
Indicates that one entity originated as a spinoff from, and is organizationally or historically derived from, another entity.
-
C.
hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
-
D.
spinoffRelation
chosen
Indicates a relationship where one entity originates as a derivative, offshoot, or spin-off from another entity.
-
E.
hasSpinOffFormatElement
Indicates that one format element is derived as a spin-off or offshoot from another format element.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623b76bec8190ad8f66180c8ecbd4 |
completed | May 2, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:49 a.m.