Triple
T17404708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monumenta 2014 |
E423181
|
entity |
| Predicate | commissionedWorkCount |
P6221
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Monumenta 2014, commissionedWorkCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionedWorkCount Context triple: [Monumenta 2014, commissionedWorkCount, 1]
-
A.
hasCommissionedWork
Indicates that one entity has formally requested and authorized another entity to create a specific work, typically in exchange for payment or agreed consideration.
-
B.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
C.
commissionedWith
Indicates that one entity was created, produced, or initiated as part of the same commissioning event or request as another entity.
-
D.
commissionedWorkType
Indicates the specific kind or category of work that has been formally commissioned.
-
E.
numberOfWorks
chosen
Indicates the total count of works associated with a given 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b068248819088871d79f8a38f30 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.