Triple
T2063951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Column of Marcus Aurelius |
E45853
|
entity |
| Predicate | originalTopSculpture |
P23770
|
FINISHED |
| Object | statue of Marcus Aurelius |
—
|
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: statue of Marcus Aurelius | Statement: [Column of Marcus Aurelius, originalTopSculpture, statue of Marcus Aurelius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTopSculpture Context triple: [Column of Marcus Aurelius, originalTopSculpture, statue of Marcus Aurelius]
-
A.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
B.
featuresSculptureOf
chosen
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
C.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
-
D.
hasSculptureType
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
E.
assistantSculptor
Indicates a relationship where one entity serves as an assistant to another entity in the role or activity of sculpting.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d3a92081909416c1d087876e99 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.