Triple
T863149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloody Sunday (1972) |
E18640
|
entity |
| Predicate | photographicIcon |
P12849
|
FINISHED |
| Object | image of Fr. Edward Daly waving a bloodied handkerchief |
—
|
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: image of Fr. Edward Daly waving a bloodied handkerchief | Statement: [Bloody Sunday (1972), photographicIcon, image of Fr. Edward Daly waving a bloodied handkerchief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photographicIcon Context triple: [Bloody Sunday (1972), photographicIcon, image of Fr. Edward Daly waving a bloodied handkerchief]
-
A.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
B.
photographer
Indicates that one entity takes photographs of another entity, typically in a professional or intentional capacity.
-
C.
hasPhotograph
chosen
Indicates that one entity possesses, includes, or is associated with a photograph depicting or representing another entity.
-
D.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
-
E.
blackAndWhite
Indicates that something is presented or exists in only black and white, without any other colors.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac67d4d481909487d3edb3e46936 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa86065881909d477e26fdd84d45 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.