Triple
T30648525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlton Banks |
E780188
|
entity |
| Predicate | hasEducationAspiration |
P159085
|
FINISHED |
| Object | Ivy League admission |
—
|
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: Ivy League admission | Statement: [Carlton Banks, hasEducationAspiration, Ivy League admission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationAspiration Context triple: [Carlton Banks, hasEducationAspiration, Ivy League admission]
-
A.
educationAspiration
chosen
Indicates an individual's intended or desired level of education or educational achievement.
-
B.
seeksEducationFrom
Indicates that one entity pursues learning, training, or academic instruction from another entity as a source of education.
-
C.
hasEducationIn
Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
-
D.
educationGoal
Indicates a relationship where an entity has a specific educational aim, objective, or intended learning outcome it is working toward.
-
E.
hasStudentDegreeGoal
Indicates that a student has a particular academic degree as their intended or targeted goal.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 29, 2026, 8:30 p.m.