Triple
T24591546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marissa Cooper |
E608550
|
entity |
| Predicate | laterAttendsSchool |
P23183
|
FINISHED |
| Object | Newport Union High School |
—
|
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: Newport Union High School | Statement: [Marissa Cooper, laterAttendsSchool, Newport Union High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAttendsSchool Context triple: [Marissa Cooper, laterAttendsSchool, Newport Union High School]
-
A.
alsoAttendedSchool
Indicates that two or more entities attended the same school in addition to any other schools they may have attended.
-
B.
attendsSchoolIn
Indicates that a person is enrolled as a student at, and regularly goes to, a school located in a particular place.
-
C.
schoolAttended
chosen
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
-
D.
attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
-
E.
awaySchool
Indicates that an entity is located away from or not present at their usual school.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9db3a9481908c7a59281e2ca994 |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.