Triple
T34933588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monument (Christopher Wren column) |
E1007506
|
entity |
| Predicate | hasSculptorOfRelief |
P24128
|
FINISHED |
| Object | Caius Gabriel Cibber |
—
|
NE NERFINISHED |
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: Caius Gabriel Cibber | Statement: [The Monument (Christopher Wren column), hasSculptorOfRelief, Caius Gabriel Cibber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSculptorOfRelief Context triple: [The Monument (Christopher Wren column), hasSculptorOfRelief, Caius Gabriel Cibber]
-
A.
sculptorOfRelief
Indicates that one entity is the sculptor who created or carved a particular relief artwork.
-
B.
hasSculptor
chosen
Indicates that one entity serves as the sculptor (creator of a sculpture) of another entity.
-
C.
hasSculptureType
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
D.
hasSculptureSubject
Indicates that a sculpture depicts, represents, or is thematically focused on a particular subject.
-
E.
sculptorOfMonument
Indicates that one entity is the sculptor who created or designed a particular monument.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4 p.m.