Triple
T31854794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Richardson |
E813163
|
entity |
| Predicate | academicMemberOf |
P467
|
FINISHED |
| Object | Royal Society of London |
—
|
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: Royal Society of London | Statement: [John Richardson, academicMemberOf, Royal Society of London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicMemberOf Context triple: [John Richardson, academicMemberOf, Royal Society of London]
-
A.
hasAcademicAssociation
Indicates a relationship where one entity is connected to another through an academic context, such as study, research, teaching, or institutional affiliation.
-
B.
hasAcademicAffiliation
chosen
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
-
C.
subjectAffiliation
Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
-
D.
memberAcademicProfile
Indicates that an entity has or is associated with an academic profile belonging to a particular member.
-
E.
composerAffiliation
Indicates that a composer is formally associated with, employed by, or otherwise connected to a particular organization, institution, or group.
- 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b040534881909cc49392e81341f6 |
completed | May 3, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:52 p.m.