Triple
T5459504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Joseph Memorial Chapel |
E122561
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | Saint Joseph |
E3227
|
NE FINISHED |
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 Joseph | Statement: [St. Joseph Memorial Chapel, dedicatedTo, Saint Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Joseph Context triple: [St. Joseph Memorial Chapel, dedicatedTo, Saint Joseph]
-
A.
Saint Joseph
chosen
Saint Joseph is a key figure in Christianity, venerated as the earthly father of Jesus and a model of humility, obedience, and protective care.
-
B.
Saint Joachim
Saint Joachim is venerated in Christian tradition as the father of the Virgin Mary and the husband of Saint Anne.
-
C.
Aloysius
Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
-
D.
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.
-
E.
Saint Joseph of Cupertino
Saint Joseph of Cupertino was a 17th-century Italian Franciscan friar and mystic, renowned in Catholic tradition for his reported levitations and ecstatic visions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91f353c481909ae1a73ae419fb9a |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4885dc708190aff55f4f5d0ff92f |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:08 p.m.