Triple
T5322677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sandfield Macdonald |
E121710
|
entity |
| Predicate | legalCareerStarted |
P2214
|
FINISHED |
| Object | 1830s |
—
|
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: 1830s | Statement: [John Sandfield Macdonald, legalCareerStarted, 1830s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalCareerStarted Context triple: [John Sandfield Macdonald, legalCareerStarted, 1830s]
-
A.
legalProfessionRole
Indicates that one entity holds or performs a specific professional role within the legal domain in relation to another entity or context.
-
B.
careerStart
chosen
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
C.
practicedLawIn
Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
-
D.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
E.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.