Triple
T33405124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luther, Obama’s Anger Translator |
E855416
|
entity |
| Predicate | relationshipToObamaCharacter |
P38921
|
FINISHED |
| Object | serves as emotional interpreter |
—
|
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: serves as emotional interpreter | Statement: [Luther, Obama’s Anger Translator, relationshipToObamaCharacter, serves as emotional interpreter]
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 (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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:36 a.m.