Triple
T16660459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Dickens statue |
E404842
|
entity |
| Predicate | depictsNotableWorkCreator |
P42822
|
FINISHED |
| Object | author of Victorian novels |
—
|
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: author of Victorian novels | Statement: [Charles Dickens statue, depictsNotableWorkCreator, author of Victorian novels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsNotableWorkCreator Context triple: [Charles Dickens statue, depictsNotableWorkCreator, author of Victorian novels]
-
A.
namedForNotableWork
Indicates that one entity is named in honor of another entity’s notable work or achievement.
-
B.
composerOfDepictingWork
Indicates that an entity is the composer of a musical work that is itself a depiction or representation of another entity or subject.
-
C.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
-
D.
hasNotableWorkDepiction
Indicates that an entity has a notable work in which it is depicted or represented.
-
E.
notableWorkAuthor
chosen
Indicates that one entity is the creator or author of a notable work associated with another entity.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfe0fb081909f2de38df0ed59d7 |
completed | April 18, 2026, 12:41 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.