Triple
T37675266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of Russell, Dukes of Bedford |
E938074
|
entity |
| Predicate | crestMountTincture |
P189185
|
FINISHED |
| Object | vert |
—
|
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: vert | Statement: [Arms of Russell, Dukes of Bedford, crestMountTincture, vert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crestMountTincture Context triple: [Arms of Russell, Dukes of Bedford, crestMountTincture, vert]
-
A.
crownTincture
Indicates the heraldic color or pattern applied to a crown in a coat of arms.
-
B.
chiefTincture
Indicates that one entity serves as the primary or dominant coloring or tonal quality in relation to another entity.
-
C.
tinctureOfEagle
Indicates a relationship where something is a tincture (an extract or solution) derived from or associated with an eagle.
-
D.
crestFeature
Indicates that an entity possesses a notable crest-related characteristic or structural feature.
-
E.
crestType
Indicates the specific style or form of a crest associated with an entity.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbb9e69b7481909beaf8264d87c5e5 |
completed | May 6, 2026, 10 p.m. |
Created at: May 3, 2026, 4:18 p.m.