Triple
T34344342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butkus Award |
E881387
|
entity |
| Predicate | hasHighSchoolDivision |
P198908
|
FINISHED |
| Object | High School Butkus Award |
—
|
NE NERFINISHED |
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: High School Butkus Award | Statement: [Butkus Award, hasHighSchoolDivision, High School Butkus Award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighSchoolDivision Context triple: [Butkus Award, hasHighSchoolDivision, High School Butkus Award]
-
A.
isInCollegeDivision
Indicates that one entity (typically a college sports team or program) belongs to or competes within a specific collegiate division or tier.
-
B.
attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
-
C.
hasUpperSchool
Indicates that an educational institution includes or is associated with an upper-level school (typically serving older or advanced students).
-
D.
isCollegiate
Indicates that an entity is associated with or participates in a college-level institution, program, or context.
-
E.
hasNotableHighSchool
Indicates that an entity is associated with a high school that is particularly notable or significant in some recognized way.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
| PDg | Predicate description generation | batch_69ff136c68b481909b83d5b8a3693622 |
completed | May 9, 2026, 10:58 a.m. |
Created at: May 1, 2026, 1:58 a.m.