Triple
T24086514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Efficient Baxter |
E596659
|
entity |
| Predicate | timeManagementStyle |
P34728
|
FINISHED |
| Object | careful scheduling |
—
|
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: careful scheduling | Statement: [The Efficient Baxter, timeManagementStyle, careful scheduling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeManagementStyle Context triple: [The Efficient Baxter, timeManagementStyle, careful scheduling]
-
A.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
B.
hasPlanningStyle
chosen
Indicates that an entity is associated with or characterized by a particular style or approach to planning.
-
C.
spentTimeIn
Indicates that an entity has spent a certain amount or period of time in a particular place or context.
-
D.
timePeriodOfWorks
Indicates the span of time during which the associated works were created, produced, or active.
-
E.
hasWorkStyle
Indicates the type or manner in which an entity typically performs work or carries out tasks.
- 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.