Triple
T4808516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Arabella Gresham |
E107004
|
entity |
| Predicate | opposesMarriageOf |
P437
|
FINISHED |
| Object | Frank Gresham and Mary Thorne |
—
|
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: Frank Gresham and Mary Thorne | Statement: [Lady Arabella Gresham, opposesMarriageOf, Frank Gresham and Mary Thorne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposesMarriageOf Context triple: [Lady Arabella Gresham, opposesMarriageOf, Frank Gresham and Mary Thorne]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
acceptsMarriageTo
Indicates that one entity formally agrees to enter into a marriage with another entity.
-
C.
sameSexMarriage
Indicates that two individuals are married to each other and are of the same sex.
-
D.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
E.
deniesSacramentalStatusOf
Indicates that one entity asserts another entity does not possess a particular sacramental status or validity.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.