Triple
T26080187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bradley |
E657813
|
entity |
| Predicate | photographerOfNotableImage |
P160330
|
FINISHED |
| Object | Joe Rosenthal |
—
|
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: Joe Rosenthal | Statement: [John Bradley, photographerOfNotableImage, Joe Rosenthal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographerOfNotableImage Context triple: [John Bradley, photographerOfNotableImage, Joe Rosenthal]
-
A.
notablePhotographer
Indicates that the subject is a photographer who is recognized as notable or significant in some context.
-
B.
imageMadeFamousBy
Indicates that an image became widely known or notable as a result of association with, or promotion by, a particular entity.
-
C.
famousImage
Indicates that an image is widely recognized or well-known, typically due to its prominence, popularity, or cultural significance.
-
D.
photographerOfEvent
Indicates that one entity serves as the photographer responsible for capturing images at a particular event.
-
E.
hasPhotographicSignificance
Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f606f9ef608190b1e7f2c179761cd8 |
completed | May 2, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 7:37 p.m.