Triple
T24726910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormy Daniels–Donald Trump scandal |
E618178
|
entity |
| Predicate | firstMajorReportBy |
P56889
|
FINISHED |
| Object | The Wall Street Journal |
—
|
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: The Wall Street Journal | Statement: [Stormy Daniels–Donald Trump scandal, firstMajorReportBy, The Wall Street Journal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorReportBy Context triple: [Stormy Daniels–Donald Trump scandal, firstMajorReportBy, The Wall Street Journal]
-
A.
firstMajorPublication
chosen
Indicates the relationship where a work is the earliest significant publication associated with an entity (such as a person or organization).
-
B.
firstMajorDepiction
Indicates that one entity is the earliest significant or primary representation or portrayal of another entity.
-
C.
firstMajorDevelopment
Indicates that the object is the earliest significant development, milestone, or major advancement associated with the subject.
-
D.
firstMajorSuccess
Indicates that an entity represents the earliest significant achievement or breakthrough in another entity’s career, activity, or development.
-
E.
firstMajorDescription
Indicates that the object is the primary or earliest major field of study associated with the subject.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 3:59 a.m.