Triple
T19205419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Franklin D. Roosevelt Years |
E480218
|
entity |
| Predicate | hasContributorRoleOfAuthor |
P134962
|
FINISHED |
| Object | journalist |
—
|
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: journalist | Statement: [The Franklin D. Roosevelt Years, hasContributorRoleOfAuthor, journalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContributorRoleOfAuthor Context triple: [The Franklin D. Roosevelt Years, hasContributorRoleOfAuthor, journalist]
-
A.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
B.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
C.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
D.
hasAuthorOfKeyWork
Indicates that an entity serves as the author or creator of a significant or primary work associated with another entity.
-
E.
workAuthorIs
Indicates that a specific person or entity is the author or creator of a particular work.
- F. None of above. chosen
Provenance (4 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99cc39c81909499b8d0b78b4665 |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4ddcf50108190a09d0f1291c17374 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:18 p.m.