Triple
T19978921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Passion of Saint Christopher |
E493763
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Saint Christopher |
—
|
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 Christopher | Statement: [The Passion of Saint Christopher, featuresCharacter, Saint Christopher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Christopher Context triple: [The Passion of Saint Christopher, featuresCharacter, Saint Christopher]
-
A.
Saint Christopher
chosen
Saint Christopher is a popular Christian martyr and patron saint, traditionally venerated as the protector of travelers.
-
B.
Saint Gerard
Saint Gerard is a Roman Catholic saint venerated especially as a patron of mothers, expectant mothers, and children.
-
C.
Saint Roch
Saint Roch is a Christian saint venerated as a protector against plagues and epidemics, often depicted as a pilgrim with a dog and a leg wound.
-
D.
Aloysius
Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
-
E.
Estevão
Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d11108481908241a2a96a795a7d |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:27 p.m.