Triple
T18104132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong Maeng |
E433304
|
entity |
| Predicate | exerciseNature |
P130449
|
FINISHED |
| Object | defensive |
—
|
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: defensive | Statement: [Dong Maeng, exerciseNature, defensive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exerciseNature Context triple: [Dong Maeng, exerciseNature, defensive]
-
A.
exercise
Indicates that an entity engages in physical activity or training, typically to improve health, fitness, or performance.
-
B.
exerciseOf
Indicates the performance or carrying out of a right, power, function, or activity by an entity.
-
C.
exercisesWith
Indicates that two or more entities engage in physical exercise or workout activities together.
-
D.
freeExerciseTest
Indicates a legal assessment of whether a law or government action improperly burdens or restricts an individual’s or group’s free exercise of religion.
-
E.
coreExercise
Indicates that an exercise primarily targets and engages the muscles of the core or midsection.
- F. None of above. chosen
Provenance (4 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb8dd308190a9c98ac2b1d8b872 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:28 a.m.