Triple
T7901409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill: On His Own |
E183460
|
entity |
| Predicate | targetReadingLevel |
P20179
|
FINISHED |
| Object | middle-grade readers |
—
|
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: middle-grade readers | Statement: [Bill: On His Own, targetReadingLevel, middle-grade readers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetReadingLevel Context triple: [Bill: On His Own, targetReadingLevel, middle-grade readers]
-
A.
intendedReadingLevel
chosen
Indicates the reading proficiency or audience level that a text or resource is designed or meant to be understood by.
-
B.
readingAid
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
-
C.
requiredReadingFor
Indicates that one item (such as a text or resource) must be read as a mandatory prerequisite or component for engaging with, understanding, or completing another item (such as a course, assignment, or program).
-
D.
targetCurriculumLevel
Indicates the curriculum level or educational stage that an activity, resource, or objective is intended to address.
-
E.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a3f4c2c81909ae70b0acf4729be |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92d94448190b4425bbfb64c658c |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:02 p.m.