Triple
T26203496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds Grammar School |
E655296
|
entity |
| Predicate | alumniDesignation |
P150737
|
FINISHED |
| Object | Old Leodensians |
—
|
NE NERFINISHED |
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: Old Leodensians | Statement: [Leeds Grammar School, alumniDesignation, Old Leodensians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alumniDesignation Context triple: [Leeds Grammar School, alumniDesignation, Old Leodensians]
-
A.
alumniType
chosen
Indicates the specific category or classification of an alumnus/alumna in relation to an institution (e.g., graduate, former student, honorary).
-
B.
namedAlumnus
Indicates that an entity is explicitly identified or designated as an alumnus of another entity (such as an institution or organization).
-
C.
hasEducationalDesignation
Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
-
D.
alumniRole
Indicates that an entity holds or held a specific role, position, or capacity as an alumnus/alumna of another entity (such as an institution or program).
-
E.
namedAfterAlumnusOf
Indicates that one entity is named in honor of a person who is an alumnus of another specified institution or organization.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60cdd664c8190862fe9543ab251c9 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:49 p.m.