Triple
T30027511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raðulfr |
E762918
|
entity |
| Predicate | hasModernEnglishEquivalent |
P21626
|
FINISHED |
| Object | Ralph |
—
|
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: Ralph | Statement: [Raðulfr, hasModernEnglishEquivalent, Ralph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernEnglishEquivalent Context triple: [Raðulfr, hasModernEnglishEquivalent, Ralph]
-
A.
isModernFormOf
Indicates that one entity is a newer or contemporary version, adaptation, or evolution of another earlier entity.
-
B.
modernEquivalent
chosen
Indicates that one entity serves as the contemporary or updated counterpart of another earlier or traditional entity.
-
C.
hasModernStandardForms
Indicates that an entity possesses one or more contemporary, standardized versions or representations of itself.
-
D.
hasTitleInModernEnglish
Indicates that an entity is associated with a specific title expressed in modern English.
-
E.
hasModernExpression
Indicates that something possesses a contemporary or up-to-date form, style, or representation.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 29, 2026, 6:49 p.m.