Triple
T26955916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Blue |
E678902
|
entity |
| Predicate | commissionedCutBy |
P164484
|
FINISHED |
| Object | Louis XIV of France |
—
|
NE NERFINISHED |
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: Louis XIV of France | Statement: [French Blue, commissionedCutBy, Louis XIV of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionedCutBy Context triple: [French Blue, commissionedCutBy, Louis XIV of France]
-
A.
commissionedFrom
Indicates that one entity formally requested, authorized, or ordered the creation or production of something from another entity.
-
B.
commissionedWith
Indicates that one entity was created, produced, or initiated as part of the same commissioning event or request as another entity.
-
C.
commissionedFor
Indicates that something was formally requested or created to serve a specific purpose, project, or recipient.
-
D.
commissionedPart
Indicates that one entity has formally requested and authorized the creation or production of another entity as a specific part or component.
-
E.
commissioned
Indicates that one entity formally authorized or ordered another entity to create, produce, or carry out something, often in exchange for payment or obligation.
- F. None of above. chosen
Provenance (4 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 6:27 a.m.