Triple
T33892840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dulwich Estate schools |
E868818
|
entity |
| Predicate | hasNotableMemberSchool |
P203841
|
FINISHED |
| Object | Dulwich College |
E29874
|
NE 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: Dulwich College | Statement: [Dulwich Estate schools, hasNotableMemberSchool, Dulwich College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMemberSchool Context triple: [Dulwich Estate schools, hasNotableMemberSchool, Dulwich College]
-
A.
hasNotableAlumniInstitution
Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
-
B.
hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
-
C.
hasNotableSportAlumnus
Indicates that an institution or organization has at least one alumnus who is notable for achievements in sports.
-
D.
notableStudentBodyAssociatedWith
Indicates that there is a significant or noteworthy group of students associated with a particular entity, such as an institution, organization, or program.
-
E.
hasNotableFacultyAlumnus
Indicates that an individual is a distinguished former student who is recognized as notable faculty at a given institution.
- F. None of above. chosen
Provenance (5 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a021f84715881908e25b6548e7cf62e |
completed | May 11, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b74c6e108190b41acb5d1ea49699 |
completed | June 20, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_6a021739b7288190a4ca94c04074c78a |
completed | May 11, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_6a021f8366c08190bc790e47b0acc7a9 |
completed | May 11, 2026, 6:27 p.m. |
Created at: May 1, 2026, 1:48 a.m.