Triple
T22103542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphrasie |
E546227
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Euphrasie |
—
|
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: Euphrasie | Statement: [Euphrasie, givenName, Euphrasie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euphrasie Context triple: [Euphrasie, givenName, Euphrasie]
-
A.
Euphrasie
chosen
Euphrasie is the birth name of Cosette, the tragic orphaned girl who becomes a central character in Victor Hugo's novel "Les Misérables."
-
B.
Kassia
Kassia was a 9th-century Byzantine abbess, poet, and hymnographer renowned as one of the earliest and most important female composers in the Eastern Orthodox tradition.
-
C.
Euodia
Euodia is a Christian woman mentioned in the New Testament book of Philippians, known for a disagreement with another woman named Syntyche that Paul urges them to resolve.
-
D.
Phileine
Phileine is the outspoken, impulsive protagonist of the Dutch novel and film "Phileine Says Sorry," known for her sharp wit and confrontational attitude.
-
E.
Eclépens
Eclépens is a small municipality in the canton of Vaud in western Switzerland, known for its rural setting and proximity to the Jura mountains.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.