Triple
T33312219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Irvin S. Cobb Show |
E852915
|
entity |
| Predicate | hasPrimaryCreativeFigure |
P102133
|
FINISHED |
| Object | Irvin S. Cobb |
—
|
NE NERFINISHED |
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: Irvin S. Cobb | Statement: [The Irvin S. Cobb Show, hasPrimaryCreativeFigure, Irvin S. Cobb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryCreativeFigure Context triple: [The Irvin S. Cobb Show, hasPrimaryCreativeFigure, Irvin S. Cobb]
-
A.
hasPrimaryCreators
chosen
Indicates that the related entities are the main or principal creators responsible for originating or producing something.
-
B.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
C.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
-
D.
hasPrimaryCharacter
Indicates that an entity features another entity as its main or central character.
-
E.
hasPrimaryKami
Indicates that an entity is associated with or devoted to a specific main kami (deity) as its primary spiritual focus or guardian.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01839b071481909f9cc79a6a09387d |
completed | May 11, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_6a017edbed688190baa61cbae5110c8e |
completed | May 11, 2026, 7:01 a.m. |
Created at: May 1, 2026, 1:33 a.m.