Triple
T14685072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dally M Medal |
E344887
|
entity |
| Predicate | disciplinaryImpact |
P102027
|
FINISHED |
| Object | players can lose points for suspensions |
—
|
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: players can lose points for suspensions | Statement: [Dally M Medal, disciplinaryImpact, players can lose points for suspensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplinaryImpact Context triple: [Dally M Medal, disciplinaryImpact, players can lose points for suspensions]
-
A.
academicImpact
Indicates the influence or contribution that one entity’s scholarly work has on the academic recognition, development, or progress of another entity or field.
-
B.
researchImpact
Indicates the influence or contribution that a piece of research has on subsequent work, practice, policy, or broader outcomes.
-
C.
impactOnSubject
chosen
Indicates the effect, influence, or consequence that one entity, event, or action has on a specified subject.
-
D.
recognizesImpactOn
Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
-
E.
impactOnIndustry
Indicates the effect or influence that one entity, event, or action has on the state, performance, or development of an industry.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56bdb8081909ff86440ba20fb1f |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.