Triple
T5128345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Potter |
E115634
|
entity |
| Predicate | schoolSubjectWeakness |
P62691
|
FINISHED |
| Object | Divination |
—
|
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: Divination | Statement: [Harry Potter, schoolSubjectWeakness, Divination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolSubjectWeakness Context triple: [Harry Potter, schoolSubjectWeakness, Divination]
-
A.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
B.
frequentlyChallengedInSchools
Indicates that a work is often the subject of formal objections or attempts to restrict or remove it from school curricula or libraries.
-
C.
subschool
Indicates a hierarchical academic relationship where one school or program is organizationally contained within and subordinate to a larger parent school or institution.
-
D.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
E.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
- F. None of above. chosen
Provenance (4 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:42 p.m.