Triple
T33405124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther, Obama’s Anger Translator |
E855416
|
entity |
| Predicate | relationshipToObamaCharacter |
—
|
GENERATED |
| Object | serves as emotional interpreter |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToObamaCharacter Context triple: [Luther, Obama’s Anger Translator, relationshipToObamaCharacter, serves as emotional interpreter]
-
A.
termRelationToPresident
Indicates the nature of a person’s connection or role in relation to a president, such as their position, association, or involvement with that president.
-
B.
relationshipToTruman
Indicates the specific familial, social, or professional connection that an entity has with Truman.
-
C.
relationshipToHomer
Indicates the specific familial or social relationship that one entity has to Homer.
-
D.
relationshipToCharacter
chosen
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
E.
relationshipToWalterSobchak
Indicates the specific personal or social relationship that one entity has to Walter Sobchak.
- F. None of above.
Provenance (1 batch)
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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.