Triple
T28923981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Edward Armstrong |
E733593
|
entity |
| Predicate | hasAllegedCrime |
P83746
|
FINISHED |
| Object | causing the death of a patient through drunkenness |
—
|
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: causing the death of a patient through drunkenness | Statement: [Dr. Edward Armstrong, hasAllegedCrime, causing the death of a patient through drunkenness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllegedCrime Context triple: [Dr. Edward Armstrong, hasAllegedCrime, causing the death of a patient through drunkenness]
-
A.
hasAllegationsOf
chosen
Indicates that one entity is accused or suspected of engaging in certain actions, behaviors, or misconduct, but without implying that these accusations are proven.
-
B.
hasCrimeElement
Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
-
C.
hasAllegedDetail
Indicates that an entity is associated with a detail or piece of information that is claimed or reported but not confirmed as factual.
-
D.
hasCriminalElement
Indicates that the subject involves, contains, or is associated with an illegal or criminal component, activity, or characteristic.
-
E.
hasCriminalProcedureBasedOn
Indicates that one legal system’s criminal procedure is derived from, modeled on, or fundamentally influenced by another specified source or framework.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 28, 2026, 8:22 a.m.