Triple
T8024067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boyhood of Raleigh |
E186808
|
entity |
| Predicate | has genre |
P78820
|
FINISHED |
| Object | Victorian painting |
—
|
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: Victorian painting | Statement: [The Boyhood of Raleigh, has genre, Victorian painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has genre Context triple: [The Boyhood of Raleigh, has genre, Victorian painting]
-
A.
hasGenreAsSetting
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
-
B.
hasUseGenre
chosen
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
-
C.
hasGenreOfClaim
Indicates that a claim is categorized or classified under a particular genre or type of claim.
-
D.
hasGenreList
Indicates that an entity is associated with a set or list of genres that categorize or describe it.
-
E.
hasStageGenre
Indicates a relationship where a stage production or performance is associated with a particular theatrical or performance genre.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e90c7348190abc1013a312e4f1a |
completed | March 31, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.