Triple
T24086506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Efficient Baxter |
E596659
|
entity |
| Predicate | problemSolvingStyle |
P124701
|
FINISHED |
| Object | step-by-step analysis |
—
|
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: step-by-step analysis | Statement: [The Efficient Baxter, problemSolvingStyle, step-by-step analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: problemSolvingStyle Context triple: [The Efficient Baxter, problemSolvingStyle, step-by-step analysis]
-
A.
problemStyle
chosen
Indicates the manner, format, or type of approach in which a problem is presented or solved.
-
B.
hasDecisionMakingStyle
Indicates that an entity possesses or exhibits a particular way or pattern of making decisions.
-
C.
usesReasoningStyle
Indicates that one entity employs or adopts a particular style or method of reasoning in its thinking or decision-making processes.
-
D.
problemType
Indicates the specific category or classification of a problem within a defined problem space or system.
-
E.
decisionProblem
Indicates that the subject is a computational problem for which the task is to decide, with a yes/no answer, whether given inputs satisfy a specified condition.
- 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.