Triple
T1907357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Nicholas of Myra |
E38032
|
entity |
| Predicate | honorificPrefix |
P536
|
FINISHED |
| Object | Saint |
E134726
|
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 | Statement: [Saint Nicholas of Myra, honorificPrefix, Saint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Context triple: [Saint Nicholas of Myra, honorificPrefix, Saint]
-
A.
Saint
chosen
Saint is a title of veneration in Christianity given to individuals recognized for their exceptional holiness, virtue, and closeness to God.
-
B.
Mari
Mari is a character in Paulo Coelho's novel "Veronika Decides to Die," portrayed as a fellow patient in the mental institution who struggles with anxiety and societal expectations.
-
C.
Santo
Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
-
D.
Saint Mary
Saint Mary is a central figure in Christianity, revered as the mother of Jesus Christ and honored as a model of faith and purity in numerous traditions and churches worldwide.
-
E.
Kay
Kay is a common diminutive or nickname for the given name Catherine.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b44174819084fa06faf1930221 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeafb063481908a08f5570acc5b57 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.