Triple
T33297153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Getting Real |
E852478
|
entity |
| Predicate | hasAuthorEmployerMentioned |
P78756
|
FINISHED |
| Object | Fox News |
—
|
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: Fox News | Statement: [Getting Real, hasAuthorEmployerMentioned, Fox News]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorEmployerMentioned Context triple: [Getting Real, hasAuthorEmployerMentioned, Fox News]
-
A.
hasAuthorEmployer
chosen
Indicates that the specified organization or entity is the employer of the author in question.
-
B.
hasAuthorOccupationOfAuthor
Indicates that an author has a specific occupation or professional role.
-
C.
employerOrPublisherOf
Indicates that one entity serves as the employer or publishing organization responsible for another entity (such as a person or work).
-
D.
authorMentionedBy
Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
-
E.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
- 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 1, 2026, 1:33 a.m.