Triple
T18891916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samu Kerevi |
E462109
|
entity |
| Predicate | primaryPlayingStyle |
P51375
|
FINISHED |
| Object | physical, direct 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: physical, direct running | Statement: [Samu Kerevi, primaryPlayingStyle, physical, direct running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPlayingStyle Context triple: [Samu Kerevi, primaryPlayingStyle, physical, direct running]
-
A.
styleOfPlay
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
B.
primaryScoringStyle
Indicates the main method or approach by which an entity achieves or generates scores or points.
-
C.
primaryStyle
chosen
Indicates the main or predominant style associated with an entity, distinguishing it from other secondary or supporting styles.
-
D.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
E.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47bbf908190b141e98e3468e908 |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.