Triple
T12120685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erin Reagan |
E288683
|
entity |
| Predicate | primaryStoryFocus |
P12980
|
FINISHED |
| Object | legal and prosecutorial cases |
—
|
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: legal and prosecutorial cases | Statement: [Erin Reagan, primaryStoryFocus, legal and prosecutorial cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStoryFocus Context triple: [Erin Reagan, primaryStoryFocus, legal and prosecutorial cases]
-
A.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
B.
primaryTextualFocus
Indicates that one entity is the main subject or central topic emphasized within the text of another entity.
-
C.
primaryTopicOf
chosen
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
D.
primaryIssue
Indicates that the related item is the main or most important issue among a set of issues.
-
E.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.