Triple
T18493466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judith |
E451877
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Judithe |
—
|
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: Judithe | Statement: [Judith, hasVariant, Judithe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judithe Context triple: [Judith, hasVariant, Judithe]
-
A.
Juditha
Juditha is the given name of Johanna Juditha Bach, a member of the extended Bach family associated with the lineage of the famous composer Johann Sebastian Bach.
-
B.
Judit
chosen
Judit is a feminine given name, commonly used in several European languages, that corresponds to the English name Judith.
-
C.
Nadiža
Nadiža is a river in the western Balkans, known for its clear waters and scenic course through the mountainous border region between Slovenia and Italy.
-
D.
Doroteja
Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
-
E.
Marcelina
Marcelina is a central character in Ian McDonald's science fiction novel "Brasyl," set within its intricate, multi-timeline narrative in Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532bf206c8190a146cd1abd752152 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:35 a.m.