Triple
T27509352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Grammar School, Worcester |
E694366
|
entity |
| Predicate | hasFormerPupilDesignation |
P57762
|
FINISHED |
| Object | Old Elizabethans |
—
|
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 Elizabethans | Statement: [Royal Grammar School, Worcester, hasFormerPupilDesignation, Old Elizabethans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerPupilDesignation Context triple: [Royal Grammar School, Worcester, hasFormerPupilDesignation, Old Elizabethans]
-
A.
hasFormerPupilRole
Indicates that an entity previously held the role or position of a pupil or student in relation to another entity.
-
B.
hasEducationalDesignation
chosen
Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
-
C.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
D.
hasFormerInstitutionName
Indicates that an institution was previously known by a different name.
-
E.
hasPupilFutureRole
Indicates that a pupil is expected or designated to hold a specific role or position in the future.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 27, 2026, 1:15 p.m.