Triple
T8004045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph |
E186319
|
entity |
| Predicate | sharesNameWith |
P15168
|
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: [Joseph, sharesNameWith, Saint Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Joseph Context triple: [Joseph, sharesNameWith, 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.
Louis Martin
Louis Martin was an influential African American journalist and editor who helped shape the Chicago Defender into a leading voice for Black America and civil rights in the 20th century.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf443e48190ac9e83343ff4019e |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0dab8188190b99e1c13bec61b87 |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:18 p.m.