Triple
T36766353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Chili Caspicara |
E908348
|
entity |
| Predicate | typeOfWorkCommissionedBy |
P1366
|
FINISHED |
| Object | religious orders |
—
|
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: religious orders | Statement: [Manuel Chili Caspicara, typeOfWorkCommissionedBy, religious orders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWorkCommissionedBy Context triple: [Manuel Chili Caspicara, typeOfWorkCommissionedBy, religious orders]
-
A.
commissionedWorkType
Indicates the specific kind or category of work that has been formally commissioned.
-
B.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
C.
designedTypeOfWork
Indicates that one entity is the type or category of work for which another entity was specifically designed.
-
D.
commissionedFor
Indicates that something was formally requested or created to serve a specific purpose, project, or recipient.
-
E.
commissionedWith
Indicates that one entity was created, produced, or initiated as part of the same commissioning event or request as 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0326d40cb88190802f61fa832f8ca8 |
completed | May 12, 2026, 1:10 p.m. |
| PD | Predicate disambiguation | batch_6a03268b4f9c8190b3e135b37ed373c3 |
completed | May 12, 2026, 1:09 p.m. |
Created at: May 3, 2026, 4:12 p.m.