Triple
T37675265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of Russell, Dukes of Bedford |
E938074
|
entity |
| Predicate | crestArmedTincture |
P100889
|
FINISHED |
| Object | or |
—
|
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: or | Statement: [Arms of Russell, Dukes of Bedford, crestArmedTincture, or]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crestArmedTincture Context triple: [Arms of Russell, Dukes of Bedford, crestArmedTincture, or]
-
A.
heraldicCharge
Indicates that one entity serves as a heraldic charge, i.e., a symbolic figure or emblem placed on another entity’s coat of arms or shield.
-
B.
heraldicTinctureRed
Indicates that an entity in a heraldic context is colored or depicted with the red tincture (gules).
-
C.
coatOfArmsMetal
chosen
Indicates that a coat of arms features a specific metal (such as gold or silver) as one of its heraldic tinctures.
-
D.
crestColor
Indicates the color characteristic of an entity’s crest.
-
E.
heraldicColor
Indicates that one entity specifies or bears a particular heraldic color in a coat of arms or related heraldic context.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.