Triple
T33598342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RJ Grimes |
E860639
|
entity |
| Predicate | parentOfNextGenerationTheme |
P180532
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [RJ Grimes, parentOfNextGenerationTheme, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOfNextGenerationTheme Context triple: [RJ Grimes, parentOfNextGenerationTheme, yes]
-
A.
successorTheme
Indicates that one theme follows, replaces, or continues another theme in a sequence or progression.
-
B.
laterGenerationOf
Indicates that one entity belongs to a generation that comes chronologically after the generation of another entity.
-
C.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
D.
hasThemeRelationship
Indicates a relationship where one entity is thematically related to, or centered around, another entity as its main subject or topic.
-
E.
hasAncestorDescendantTheme
chosen
Indicates a thematic relationship where one element is treated as an ancestor and another as its descendant, emphasizing lineage, heritage, or generational connection between them.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 1, 2026, 1:41 a.m.