Triple
T37694331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Merryman |
E938885
|
entity |
| Predicate | opposedLegalActionBy |
P437
|
FINISHED |
| Object | Chief Justice Roger B. Taney in Ex parte Merryman |
—
|
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: Chief Justice Roger B. Taney in Ex parte Merryman | Statement: [John Merryman, opposedLegalActionBy, Chief Justice Roger B. Taney in Ex parte Merryman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedLegalActionBy Context triple: [John Merryman, opposedLegalActionBy, Chief Justice Roger B. Taney in Ex parte Merryman]
-
A.
opposedLawType
Indicates that one law is opposed to, or in conflict with, another law of a specified type.
-
B.
canOppose
Indicates that one entity has the ability or capacity to resist, counteract, or act in opposition to another entity or its actions.
-
C.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
D.
opposedOnGroundsOf
Indicates that one party is against or rejects another party, proposal, or action specifically for the stated reasons or justification.
-
E.
opposedBecause
Indicates that one entity is opposed to another specifically due to a particular reason, cause, or justification.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:18 p.m.