Triple
T2612220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Smith |
E58800
|
entity |
| Predicate | collegeHonor |
P26684
|
FINISHED |
| Object | consensus All-American at Virginia Tech |
—
|
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: consensus All-American at Virginia Tech | Statement: [Bruce Smith, collegeHonor, consensus All-American at Virginia Tech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeHonor Context triple: [Bruce Smith, collegeHonor, consensus All-American at Virginia Tech]
-
A.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
B.
graduatedWithHonors
Indicates that an entity completed an academic program with a distinction or honors-level achievement according to the institution’s criteria.
-
C.
hasHonorsCollege
Indicates that an educational institution includes or is associated with an honors college program.
-
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.
isHonorSocietyFor
Indicates that an organization functions as an honor society specifically recognizing and serving the members of a particular group or field.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.