Triple
T28307605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Buckley |
E713905
|
entity |
| Predicate | typeOfConvict |
P197124
|
FINISHED |
| Object | transported convict to Australia |
—
|
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: transported convict to Australia | Statement: [William Buckley, typeOfConvict, transported convict to Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfConvict Context triple: [William Buckley, typeOfConvict, transported convict to Australia]
-
A.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
B.
convictedAs
Indicates that a person has been formally found guilty and sentenced in a specific role or capacity (e.g., as a particular type of offender) in a legal proceeding.
-
C.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
-
D.
convictedIndividual
Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
-
E.
prisonType
Indicates the specific category or classification of a prison associated with an 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
| PDg | Predicate description generation | batch_69fe78e35e6c8190b8b440777912f64e |
completed | May 8, 2026, 11:59 p.m. |
Created at: April 27, 2026, 11:38 p.m.