Triple
T23443082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wall (Solar Opposites) |
E565454
|
entity |
| Predicate | originWithinStory |
P35676
|
FINISHED |
| Object | humans shrunk by Yumyulack and Jesse |
—
|
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: humans shrunk by Yumyulack and Jesse | Statement: [The Wall (Solar Opposites), originWithinStory, humans shrunk by Yumyulack and Jesse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originWithinStory Context triple: [The Wall (Solar Opposites), originWithinStory, humans shrunk by Yumyulack and Jesse]
-
A.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
B.
showWithinFiction
Indicates that one entity is depicted, referenced, or occurs as part of the fictional world or narrative context of another entity.
-
C.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
D.
storyElement
chosen
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
E.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:51 p.m.