Triple
T33532350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Originals |
E858827
|
entity |
| Predicate | exploresClassIssues |
P177622
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Originals, exploresClassIssues, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresClassIssues Context triple: [The Originals, exploresClassIssues, true]
-
A.
exploresClass
Indicates that one entity actively investigates, studies, or examines a particular class or category of things.
-
B.
culturalIssueExploredIn
Indicates that a particular cultural issue is examined, addressed, or thematically treated within a specified work or context.
-
C.
disciplineIssues
Indicates that one entity has recorded or is associated with disciplinary problems, violations, or behavior issues involving another entity.
-
D.
classificationIssue
Indicates that there is a problem, ambiguity, or error in how something has been categorized or assigned to a class or type.
-
E.
affectedClass
Indicates that one entity (typically a change, event, or issue) has an impact on or is relevant to a particular class or category of items.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:39 a.m.