Triple
T17890788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMERSH (in the novel) |
E447309
|
entity |
| Predicate | ideologicalAlignmentInFiction |
P27156
|
FINISHED |
| Object | Soviet communism |
—
|
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: Soviet communism | Statement: [SMERSH (in the novel), ideologicalAlignmentInFiction, Soviet communism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ideologicalAlignmentInFiction Context triple: [SMERSH (in the novel), ideologicalAlignmentInFiction, Soviet communism]
-
A.
ideologicalCharacter
chosen
Indicates a relationship where one entity embodies, expresses, or is defined by a particular ideology or set of ideological traits.
-
B.
speciesAlignment
Indicates how closely related or compatible two species are in terms of traits, behavior, or evolutionary relationship.
-
C.
hasAlignmentInFiction
Indicates that a fictional character, group, or entity possesses a specific moral or ethical alignment within a fictional setting.
-
D.
politicalPartyInFiction
Indicates that a political party appears or operates within a fictional work or fictional universe.
-
E.
alliesInFiction
Indicates that two or more entities are portrayed as allies or cooperative partners within a fictional context or narrative.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.