Triple
T15948550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvin Murphy |
E386751
|
entity |
| Predicate | collegeScoringAverage |
P26684
|
FINISHED |
| Object | 33.1 points per game (career at Niagara) |
—
|
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: 33.1 points per game (career at Niagara) | Statement: [Calvin Murphy, collegeScoringAverage, 33.1 points per game (career at Niagara)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeScoringAverage Context triple: [Calvin Murphy, collegeScoringAverage, 33.1 points per game (career at Niagara)]
-
A.
collegeScoringRecord
Indicates that an entity holds or represents a record for scoring performance achieved during college-level competition.
-
B.
highSchoolAchievement
Indicates the level or nature of a person’s academic or related performance outcomes during their high school education.
-
C.
rankOfTypicalStudents
Indicates the usual or most common rank or standing that students hold within a given group or context.
-
D.
collegeAchievement
chosen
Indicates that an entity has attained a specific level of success, recognition, or accomplishment in a college or higher-education context.
-
E.
collegeCoach
Indicates that one entity serves as a coach for a college-level sports team associated with another entity.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.