Triple
T2128543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernesto Arturo Miranda |
E46480
|
entity |
| Predicate | rightImpacted |
P17486
|
FINISHED |
| Object | right against self-incrimination |
—
|
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: right against self-incrimination | Statement: [Ernesto Arturo Miranda, rightImpacted, right against self-incrimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightImpacted Context triple: [Ernesto Arturo Miranda, rightImpacted, right against self-incrimination]
-
A.
hadRight
chosen
Indicates that an entity possessed a legal or moral entitlement to perform an action, access something, or claim something in relation to another entity or situation.
-
B.
heldRight
Indicates that one entity is being held on the right side of another entity.
-
C.
side
Indicates that one entity is located at, aligned with, or associated with the lateral part or edge of another entity.
-
D.
protectsRight
Indicates that one entity safeguards, upholds, or defends the legal or moral rights of another entity.
-
E.
frontAffected
Indicates that an action, event, or condition primarily impacts the front side or front-facing part of an entity.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7659f48190871cb27faf47e18a |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.