Triple
T18262083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiny Soderball |
E437380
|
entity |
| Predicate | appearsInLiteraryUniverse |
P79039
|
FINISHED |
| Object | My Ántonia universe |
—
|
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: My Ántonia universe | Statement: [Tiny Soderball, appearsInLiteraryUniverse, My Ántonia universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInLiteraryUniverse Context triple: [Tiny Soderball, appearsInLiteraryUniverse, My Ántonia universe]
-
A.
hasFictionalUniverseElement
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
-
B.
hasFictionalUniverseProperty
Indicates that a fictional universe possesses a specific characteristic, attribute, or property.
-
C.
activeInFictionalUniverse
chosen
Indicates that an entity participates, operates, or has a role within a specified fictional universe or setting.
-
D.
literaryUniverse
Indicates that two or more works of literature exist within the same fictional universe or continuity, sharing settings, characters, or canonical events.
-
E.
sharesFictionalUniverseWith
Indicates that two entities are set within the same fictional universe or continuity, such that their stories coexist in a shared narrative world.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff76a1208190abbe6ab8720ed154 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.