Triple
T26304494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1934 Surgeons Photograph |
E661643
|
entity |
| Predicate | imageColor |
P102014
|
FINISHED |
| Object | black and white |
—
|
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: black and white | Statement: [1934 Surgeons Photograph, imageColor, black and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageColor Context triple: [1934 Surgeons Photograph, imageColor, black and white]
-
A.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
B.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
C.
isColor
chosen
Indicates that one entity represents the color attribute or hue of another entity.
-
D.
hasColorImagery
Indicates that something includes or is characterized by visual elements emphasizing specific colors or color-based symbolism.
-
E.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ee22a908190a62640e48c2e7659 |
completed | May 2, 2026, 2:49 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 10:18 p.m.