Triple
T37675258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of Russell, Dukes of Bedford |
E938074
|
entity |
| Predicate | escallopTincture |
P188534
|
FINISHED |
| Object | argent |
—
|
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: argent | Statement: [Arms of Russell, Dukes of Bedford, escallopTincture, argent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: escallopTincture Context triple: [Arms of Russell, Dukes of Bedford, escallopTincture, argent]
-
A.
tinctureOfBeakAndClaws
Indicates that something is a tincture (medicinal or alchemical preparation) made specifically from the beak and claws of a creature.
-
B.
tinctureOfPale
Indicates that one entity is a tincture (medicinal or alcoholic extract) derived from or characterized by the pale aspect, quality, or component of another entity.
-
C.
tinctureOfBear
Indicates a relationship where a substance is a tincture derived from or made using bear (or bear-related material) as its primary source.
-
D.
tinctureOfEagle
Indicates a relationship where something is a tincture (an extract or solution) derived from or associated with an eagle.
-
E.
beakAndClawsTincture
Indicates that the beak and claws of a creature share a specified heraldic tincture (color or pattern).
- 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_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba887821c8190ae93ef1dd389e9c8 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fba9ddef488190b785d332580650f0 |
completed | May 6, 2026, 8:51 p.m. |
Created at: May 3, 2026, 4:18 p.m.