Triple
T18839773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Kwan |
E460760
|
entity |
| Predicate | usesPhotographyFor |
P108083
|
FINISHED |
| Object | documenting social injustice |
—
|
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: documenting social injustice | Statement: [Billy Kwan, usesPhotographyFor, documenting social injustice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPhotographyFor Context triple: [Billy Kwan, usesPhotographyFor, documenting social injustice]
-
A.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
B.
hasPhotographicActivity
chosen
Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
-
C.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
D.
allowsPhotography
Indicates that one entity permits another entity to take photographs in a particular context or location.
-
E.
photographyGenre
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8e8f57081909edbbcaf56189816 |
completed | April 20, 2026, 5:26 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.