Triple
T9371665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorary Fellowship of the Royal Photographic Society |
E225543
|
entity |
| Predicate | hasAwardingBodyField |
P74756
|
FINISHED |
| Object | photography |
—
|
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: photography | Statement: [Honorary Fellowship of the Royal Photographic Society, hasAwardingBodyField, photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardingBodyField Context triple: [Honorary Fellowship of the Royal Photographic Society, hasAwardingBodyField, photography]
-
A.
hasAwardingBodyType
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
B.
awardingBodyField
Indicates the organization or authority that grants or confers a particular award, qualification, or certification in the described relationship.
-
C.
hasParentAwardBody
Indicates that an award is associated with or governed by a higher-level parent awarding body or organization.
-
D.
awardingBodyDomain
chosen
Indicates that an entity functions as the domain or field of specialization in which an awarding body grants qualifications, certifications, or awards.
-
E.
hasAwardedFieldOfWork
Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5083cbb8819088e8cef26be1b380 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.