Triple
T24086498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Efficient Baxter |
E596659
|
entity |
| Predicate | approachToProblemSolving |
P52529
|
FINISHED |
| Object | systematic |
—
|
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: systematic | Statement: [The Efficient Baxter, approachToProblemSolving, systematic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToProblemSolving Context triple: [The Efficient Baxter, approachToProblemSolving, systematic]
-
A.
commonlySolvedBy
Indicates that a problem, task, or issue is typically addressed or resolved through a particular method, tool, or agent.
-
B.
typicalProblem
Indicates that a situation, issue, or obstacle is representative or characteristic of the usual problems encountered in a given context.
-
C.
problemTypeSolved
Indicates that a given problem has been successfully solved or resolved by a particular entity or method.
-
D.
formsApproachTo
chosen
Indicates that one entity develops or establishes a particular method, strategy, or way of dealing with or addressing another entity or situation.
-
E.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2a76c881908ee6e599dc6d155e |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:44 p.m.