Triple
T23289231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redburga |
E589979
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Redburga |
—
|
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: Redburga | Statement: [Redburga, name, Redburga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redburga Context triple: [Redburga, name, Redburga]
-
A.
Redburga
chosen
Redburga is a historically obscure woman believed to have been the wife of King Egbert of Wessex and the mother of King Æthelwulf, placing her in the early 9th-century West Saxon royal family.
-
B.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
-
C.
Branca
Branca was a medieval Portuguese infanta (princess) of the royal House of Burgundy.
-
D.
Saffronia
Saffronia is a fictional woman featured in the poem "Four Women" by Nina Simone, representing one of the distinct archetypal experiences of Black womanhood.
-
E.
Smeraldina
Smeraldina is a witty and sharp-tongued maid character from Carlo Goldoni’s Italian comedy "Il servitore di due padroni," embodying the clever servant archetype of commedia dell’arte.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19649570c8190b565fafa55b1f886 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5:01 p.m.