Triple
T31490790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike McCartney |
E803397
|
entity |
| Predicate | usesPhotographyMedium |
P116192
|
FINISHED |
| Object | still 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: still photography | Statement: [Mike McCartney, usesPhotographyMedium, still photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPhotographyMedium Context triple: [Mike McCartney, usesPhotographyMedium, still photography]
-
A.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
B.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
C.
hasPhotographicActivity
Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
-
D.
hasPhotographicSpecialty
chosen
Indicates that an entity possesses a specific area of expertise or focus within the field of photography.
-
E.
allowsPhotography
Indicates that one entity permits another entity to take photographs in a particular context or location.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 30, 2026, 9:38 p.m.