Triple
T18341882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Wolf |
E439426
|
entity |
| Predicate | genreOfArtDealt |
P91702
|
FINISHED |
| Object | photography |
—
|
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: photography | Statement: [Daniel Wolf, genreOfArtDealt, photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfArtDealt Context triple: [Daniel Wolf, genreOfArtDealt, photography]
-
A.
inArtGenre
Indicates that an artwork or artistic work belongs to, is classified under, or is created in a particular art genre.
-
B.
artSpecialty
chosen
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
C.
artCategory
Indicates the classification relationship where an artwork is assigned to a particular artistic category or genre.
-
D.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
E.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f0b5a881908056d48bc48124b8 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.