Triple
T22073074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il cimento dell’armonia e dell’inventione |
E545456
|
entity |
| Predicate | workCountInFamousSubset |
P109056
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Il cimento dell’armonia e dell’inventione, workCountInFamousSubset, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workCountInFamousSubset Context triple: [Il cimento dell’armonia e dell’inventione, workCountInFamousSubset, 4]
-
A.
notableWorkCount
chosen
Indicates the number of notable works associated with an entity.
-
B.
famousNumber
Indicates that a number is widely recognized or notable for a particular reason, property, or occurrence.
-
C.
numberOfKnownPortraits
Indicates the count of portraits that are known to exist for a given entity.
-
D.
famousMember
Indicates that an entity is a well-known or widely recognized member of a particular group, organization, or category.
-
E.
notableCount
Indicates the number of notable or distinguished items, entities, or instances associated with a given subject.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12889f504819089830202e64d97b0 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.