Triple
T22726877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Photographic Society Centenary Medal |
E562018
|
entity |
| Predicate | awardGiverType |
P61562
|
FINISHED |
| Object | learned society |
—
|
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: learned society | Statement: [Royal Photographic Society Centenary Medal, awardGiverType, learned society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardGiverType Context triple: [Royal Photographic Society Centenary Medal, awardGiverType, learned society]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
C.
awardForPerformerType
Indicates that an award is designated for or associated with a specific type or category of performer.
-
D.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
E.
awardBodyType
chosen
Indicates the type or classification of the organization or body that grants or issues an award.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792a2ee48190bfbdde1a72adfd25 |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:20 p.m.