Triple
T35385254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Motata |
E1022772
|
entity |
| Predicate | hasEthicalOrLegalStatus |
P2250
|
FINISHED |
| Object | found guilty of judicial misconduct |
—
|
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: found guilty of judicial misconduct | Statement: [John Motata, hasEthicalOrLegalStatus, found guilty of judicial misconduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthicalOrLegalStatus Context triple: [John Motata, hasEthicalOrLegalStatus, found guilty of judicial misconduct]
-
A.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
hasEthicalConstraint
Indicates that an entity is subject to a specified ethical rule, limitation, or normative requirement that governs its behavior or decisions.
-
C.
hasEthicalBasisIn
Indicates that the ethical justification, grounding, or normative foundation of one entity is derived from, supported by, or based upon another entity.
-
D.
hasEthicalRole
Indicates that an entity holds a position, function, or responsibility defined in terms of ethical duties, norms, or moral obligations in relation to another entity or context.
-
E.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:03 p.m.