Triple
T5532008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward R. Rooney |
E145069
|
entity |
| Predicate | schoolLevelSupervised |
P3870
|
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: [Edward R. Rooney, schoolLevelSupervised, high school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolLevelSupervised Context triple: [Edward R. Rooney, schoolLevelSupervised, high school]
-
A.
regulatesGradeLevels
Indicates a relationship where one entity sets or enforces rules or standards governing the grade levels of another entity.
-
B.
subschool
Indicates a hierarchical academic relationship where one school or program is organizationally contained within and subordinate to a larger parent school or institution.
-
C.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
D.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
E.
denotesGradeLevel
Indicates that one entity specifies or assigns the educational grade level associated with another entity.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9d17ec8190b93b12931a4c1b33 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.