Triple
T13486294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels with Instruments of the Passion |
E318511
|
entity |
| Predicate | hasNumberOfWorks |
P6221
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Angels with Instruments of the Passion, hasNumberOfWorks, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfWorks Context triple: [Angels with Instruments of the Passion, hasNumberOfWorks, 10]
-
A.
numberOfWorks
chosen
Indicates the total count of works associated with a given entity.
-
B.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
C.
notableWorkCount
Indicates the number of notable works associated with an entity.
-
D.
hasCatalogedWorkOn
Indicates that an entity has formally recorded, listed, or documented another entity as a work within a catalog or collection.
-
E.
hasCreatedWorksFor
Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.