Triple
T28776620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Bertram |
E726549
|
entity |
| Predicate | scandalInvolves |
P29490
|
FINISHED |
| Object | elopement with Henry Crawford |
—
|
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: elopement with Henry Crawford | Statement: [Maria Bertram, scandalInvolves, elopement with Henry Crawford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scandalInvolves Context triple: [Maria Bertram, scandalInvolves, elopement with Henry Crawford]
-
A.
associatedScandal
chosen
Indicates a relationship where an entity is linked to, involved in, or notably connected with a particular scandal.
-
B.
effectOfScandal
Indicates the consequences or impact that a particular scandal has on a person, organization, event, or situation.
-
C.
disgracedFor
Indicates that an entity has lost honor, respect, or status specifically because of the associated reason, action, or circumstance.
-
D.
timeOfMajorScandal
Indicates the specific time period during which a major scandal involving the entity occurred.
-
E.
subjectOfInquest
Indicates that an entity is the focus or target of a formal inquest or official investigative proceeding.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:18 a.m.