Triple
T5102655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The American Dream |
E115015
|
entity |
| Predicate | notableCharacterRole |
P20971
|
FINISHED |
| Object | Grandma as a voice of subversive wisdom |
—
|
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: Grandma as a voice of subversive wisdom | Statement: [The American Dream, notableCharacterRole, Grandma as a voice of subversive wisdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCharacterRole Context triple: [The American Dream, notableCharacterRole, Grandma as a voice of subversive wisdom]
-
A.
notableCharacterType
chosen
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
B.
notableCharacterOccupation
Indicates that a notable character is associated with a specific occupation or professional role.
-
C.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
-
D.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
E.
famousRole
Indicates that an entity is best known for portraying or performing a particular role or character.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7586a4a08190866aea6be625837c |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.