Triple
T9214678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behind the Gare Saint-Lazare |
E221212
|
entity |
| Predicate | followsPhotographicConcept |
P27062
|
FINISHED |
| Object | decisive moment |
—
|
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: decisive moment | Statement: [Behind the Gare Saint-Lazare, followsPhotographicConcept, decisive moment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsPhotographicConcept Context triple: [Behind the Gare Saint-Lazare, followsPhotographicConcept, decisive moment]
-
A.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
B.
hasPhotographicConvention
chosen
Indicates that there is an established photographic style, rule, or convention governing how the related entities are visually represented in photographs.
-
C.
photographyGenre
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
-
D.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
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.
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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda06bf80819094c6e74b4b6a31e4 |
completed | April 1, 2026, 8:40 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.