Triple
T36545777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandywine |
E901136
|
entity |
| Predicate | anglicizes |
P34536
|
FINISHED |
| Object | Baranduin |
—
|
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: Baranduin | Statement: [Brandywine, anglicizes, Baranduin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anglicizes Context triple: [Brandywine, anglicizes, Baranduin]
-
A.
naturalizes
Indicates the process by which an entity (often a person or practice) is made to appear normal, inherent, or taken-for-granted within a particular system or context.
-
B.
historicallyAnglicisedDuring
chosen
Indicates that an entity’s name or form was historically rendered into an Anglicised version during a specified time period.
-
C.
usesStandardOrthographyOf
Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
-
D.
isOftenAmericanizedFormOf
Indicates that one term is a version of another term that has been adapted into common American usage, typically in spelling, form, or style.
-
E.
linguisticAssimilation
Indicates the process by which one language or linguistic feature becomes more similar to or integrated with another through contact or influence.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.