Triple
T14883713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Irwin |
E350063
|
entity |
| Predicate | hasPhotographicSpecialty |
P116192
|
FINISHED |
| Object | wildlife 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: wildlife photography | Statement: [Robert Irwin, hasPhotographicSpecialty, wildlife photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotographicSpecialty Context triple: [Robert Irwin, hasPhotographicSpecialty, wildlife photography]
-
A.
hasPhotographicProcess
Indicates that something is associated with, created by, or characterized through a specific photographic process or technique.
-
B.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
C.
hasPhotographicConvention
Indicates that there is an established photographic style, rule, or convention governing how the related entities are visually represented in photographs.
-
D.
hasPhotographicActivity
Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
-
E.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
- F. None of above. chosen
Provenance (4 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5f4598081908735e8d7dfce8074 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4c76e481909c0aa8d1a978e8d5 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:56 a.m.