Triple
T23456428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caecilia |
E567933
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Saint Cecilia |
—
|
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: Saint Cecilia | Statement: [Caecilia, associatedWith, Saint Cecilia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Cecilia Context triple: [Caecilia, associatedWith, Saint Cecilia]
-
A.
Saint Cecilia
chosen
Saint Cecilia is a celebrated Christian martyr and the patron saint of music, often depicted with musical instruments and venerated for her steadfast faith.
-
B.
Saint Mary and Saint Cecilia
Saint Mary and Saint Cecilia are Christian saints venerated respectively as the mother of Jesus and the patron saint of music and musicians.
-
C.
Saint Lucy
Saint Lucy is a Christian martyr and saint, particularly venerated in Italy and Scandinavia, who is associated with light and whose feast day is celebrated on December 13.
-
D.
Saint Vibiana
Saint Vibiana is an early Christian virgin martyr venerated as a saint in the Catholic Church and regarded as a patroness of the Archdiocese of Los Angeles.
-
E.
Saint Barbara
Saint Barbara is a Christian martyr venerated as the patron saint of artillerymen, military engineers, and others who work with explosives and dangerous occupations.
- 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a6980d4481909fab47cb5bd28eab |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.