Triple
T22034095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trial of the Seventeen |
E544155
|
entity |
| Predicate | methodOfObtainingConfessions |
P121462
|
FINISHED |
| Object | coerced confessions |
—
|
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: coerced confessions | Statement: [Trial of the Seventeen, methodOfObtainingConfessions, coerced confessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfObtainingConfessions Context triple: [Trial of the Seventeen, methodOfObtainingConfessions, coerced confessions]
-
A.
confessionObtainedBy
chosen
Indicates that a confession was acquired through a particular method, action, or process.
-
B.
usesConfessions
Indicates that one entity employs or relies on another entity’s confessions as a basis for some action, decision, or outcome.
-
C.
usesConfession
Indicates that one entity employs or relies on a confession (typically an admission of guilt or wrongdoing) as part of its actions or reasoning toward another entity or outcome.
-
D.
requiresConfessionOf
Indicates that one entity mandates or conditions something upon another entity making a confession.
-
E.
containsConfession
Indicates that one entity includes or expresses an admission of guilt, wrongdoing, or previously concealed truth regarding another entity or situation.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.