Triple
T20361497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remus Lupin |
E496790
|
entity |
| Predicate | yearOfTeaching |
P65722
|
FINISHED |
| Object | 1993–1994 school year |
—
|
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: 1993–1994 school year | Statement: [Remus Lupin, yearOfTeaching, 1993–1994 school year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfTeaching Context triple: [Remus Lupin, yearOfTeaching, 1993–1994 school year]
-
A.
teachesFromYear
Indicates the year from which an entity (such as a person or institution) began teaching in a particular role, subject, or place.
-
B.
workYear
chosen
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
-
C.
lectureYears
Indicates the years during which a lecture or course is (or was) delivered.
-
D.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
E.
hasSchoolYears
Indicates a relationship where an educational institution is associated with specific academic years or grade levels it offers or covers.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:25 a.m.