Triple
T11495153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian Brook |
E272513
|
entity |
| Predicate | educationPursuit |
P48900
|
FINISHED |
| Object | art and drawing |
—
|
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: art and drawing | Statement: [Marian Brook, educationPursuit, art and drawing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationPursuit Context triple: [Marian Brook, educationPursuit, art and drawing]
-
A.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
B.
educationPractice
Indicates that an entity engages in, applies, or embodies a particular educational method, strategy, or instructional approach.
-
C.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
D.
educationProvision
Indicates the act or arrangement of supplying educational services, resources, or opportunities to individuals or groups.
-
E.
educationField
chosen
Indicates the academic or professional discipline in which an entity has been educated or trained.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de183f08190abfa36eaabc61dc6 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.