Triple
T26248715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristina Moreno |
E656520
|
entity |
| Predicate | educationContextInWork |
P55744
|
FINISHED |
| Object | preparing for elite schooling |
—
|
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: preparing for elite schooling | Statement: [Cristina Moreno, educationContextInWork, preparing for elite schooling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationContextInWork Context triple: [Cristina Moreno, educationContextInWork, preparing for elite schooling]
-
A.
workInstitution
Indicates that an entity is employed by or works at a particular institution.
-
B.
hasEducationalWork
Indicates that one entity is the creator, contributor, or subject of an educational work (such as a textbook, course, or instructional material) associated with another entity.
-
C.
educationalContext
chosen
Indicates the situational or institutional setting in which an educational activity, interaction, or resource takes place.
-
D.
educationAspiration
Indicates an individual's intended or desired level of education or educational achievement.
-
E.
schoolContext
Indicates that the relationship or action occurs within, is influenced by, or is specifically relevant to a school or educational setting.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 26, 2026, 9:06 p.m.