Triple
T30491352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise Boyd |
E775871
|
entity |
| Predicate | hasPhotographicArchiveAt |
P79359
|
FINISHED |
| Object | American Geographical Society Library |
—
|
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: American Geographical Society Library | Statement: [Louise Boyd, hasPhotographicArchiveAt, American Geographical Society Library]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotographicArchiveAt Context triple: [Louise Boyd, hasPhotographicArchiveAt, American Geographical Society Library]
-
A.
hasPhotographicCollectionAt
chosen
Indicates that an entity maintains or possesses a photographic collection located at a specified place or institution.
-
B.
hasHistoricPhotographsOnDisplay
Indicates that historic photographs are currently exhibited or shown to the public at a given place or within a given context.
-
C.
hasPhotographicRecordSince
Indicates that a photographic record of an entity has existed continuously since a specified point in time.
-
D.
hasPhotographs
Indicates that one entity possesses, contains, or is associated with one or more photographs of another entity or subject.
-
E.
hasPhotograph
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 29, 2026, 8:13 p.m.