Triple
T11238684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm Brown |
E266011
|
entity |
| Predicate | hasPhysicalActivity |
P46291
|
FINISHED |
| Object | running |
—
|
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: running | Statement: [Malcolm Brown, hasPhysicalActivity, running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalActivity Context triple: [Malcolm Brown, hasPhysicalActivity, running]
-
A.
participatesInExercise
chosen
Indicates that an entity takes part in a physical exercise activity or workout.
-
B.
hasOrdinaryExercise
Indicates that an entity engages in or is associated with a regular, non-specialized form of physical exercise.
-
C.
currentActivityLevel
Indicates the present intensity or degree of activity that an entity is engaged in at a given moment.
-
D.
hasSignificantActivity
Indicates that an entity exhibits a notable level or intensity of activity, performance, or operation relative to a defined threshold or context.
-
E.
hasExerciseType
Indicates that an exercise or workout is associated with a specific type or category of physical activity.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e918375081908c2a7ccb50cbf331 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.