Triple
T33219014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Bannick |
E850366
|
entity |
| Predicate | evidenceHandling |
P176217
|
FINISHED |
| Object | uses legal knowledge to conceal crimes |
—
|
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: uses legal knowledge to conceal crimes | Statement: [Ross Bannick, evidenceHandling, uses legal knowledge to conceal crimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evidenceHandling Context triple: [Ross Bannick, evidenceHandling, uses legal knowledge to conceal crimes]
-
A.
evidenceTypeHandled
Indicates that an entity is responsible for processing or managing a particular type or category of evidence.
-
B.
evidenceAtIssue
Indicates that a particular piece of evidence is directly contested, disputed, or central to the disagreement or decision in a case or situation.
-
C.
appliesRulesOfEvidence
Indicates that one party enforces or follows established rules of evidence in relation to another party or proceeding.
-
D.
hasProcessEvidence
Indicates that there is supporting evidence for a process or procedure associated with the subject in relation to the object.
-
E.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
- F. None of above. chosen
Provenance (4 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:30 a.m.