Triple
T24872496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponyboy Curtis |
E622472
|
entity |
| Predicate | isStudent |
P74278
|
FINISHED |
| Object | high school |
—
|
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: high school | Statement: [Ponyboy Curtis, isStudent, high school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStudent Context triple: [Ponyboy Curtis, isStudent, high school]
-
A.
isStudentAt
chosen
Indicates that one entity is enrolled as a student at, and formally associated with, an educational institution or program represented by another entity.
-
B.
isInEducationalInstitution
Indicates that one entity is located within, enrolled in, or otherwise present at an educational institution in relation to another.
-
C.
hasAcademicStudent
Indicates that an academic advisor, mentor, or supervisor has a student under their academic guidance or supervision.
-
D.
isInCollege
Indicates that a person is currently enrolled as a student at a college or university.
-
E.
isStudentCity
Indicates that a city is characterized by or primarily associated with a significant student population, such as hosting major educational institutions.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:23 a.m.