Triple
T8065642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montrezl Harrell |
E188236
|
entity |
| Predicate | yearsAtCollege |
P39612
|
FINISHED |
| Object | 2012–2015 |
—
|
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: 2012–2015 | Statement: [Montrezl Harrell, yearsAtCollege, 2012–2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsAtCollege Context triple: [Montrezl Harrell, yearsAtCollege, 2012–2015]
-
A.
undergraduateDegreeYear
Indicates the year in which an entity obtained or completed their undergraduate degree.
-
B.
fullCollegeStatusYear
Indicates the year in which an entity attained or was recognized with full college status.
-
C.
timeSinceCollege
Indicates the amount of time that has passed since an entity completed or left college.
-
D.
playedCollegeYears
chosen
Indicates the span of years during which an entity participated in college-level play (e.g., as a student-athlete).
-
E.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.