Triple
T8867333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Blatchford |
E211050
|
entity |
| Predicate | practicedInField |
P85096
|
FINISHED |
| Object | commercial law |
—
|
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: commercial law | Statement: [Samuel Blatchford, practicedInField, commercial law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: practicedInField Context triple: [Samuel Blatchford, practicedInField, commercial law]
-
A.
practicedLawIn
Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
-
B.
hasPracticeFields
Indicates that an entity possesses or is associated with one or more designated fields or areas used for practice activities.
-
C.
practicedMedicineIn
Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
-
D.
stillPracticedIn
Indicates that a tradition, custom, or practice continues to be actively carried out or observed in a specified place or context.
-
E.
isPracticedAt
Indicates that an activity, skill, or discipline is regularly performed or carried out at a particular location or context.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6108530c819084559f4de669ce20 |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cffe8ec819084c12770fe0578f2 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:51 p.m.