Triple
T19012256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arletta |
E465255
|
entity |
| Predicate | historicalSource |
P2296
|
FINISHED |
| Object | Wace |
—
|
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: Wace | Statement: [Arletta, historicalSource, Wace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wace Context triple: [Arletta, historicalSource, Wace]
-
A.
Wace
chosen
Wace was a 12th-century Anglo-Norman poet and chronicler best known for his verse histories of the Norman dukes and the legends of King Arthur.
-
B.
Witteric
Witteric was a Visigothic king of Hispania and Septimania in the early 7th century, known for overthrowing his predecessor and ruling from 603 to 610.
-
C.
Wolfram von Eschenbach
Wolfram von Eschenbach was a medieval German knight and poet best known for his epic Arthurian romance "Parzival," a foundational work of Middle High German literature.
-
D.
Villon
Villon is a poem by modernist British poet Basil Bunting, reflecting his characteristic musical language and dense, allusive style.
-
E.
Theodulf of Orléans
Theodulf of Orléans was a prominent 8th–9th century Carolingian bishop, scholar, and poet who played a key role in Charlemagne’s intellectual and religious reforms.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a9bac8819093f9af57000667b0 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:02 p.m.