Triple
T11592091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna |
E274905
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Saint Anna |
E4646
|
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 Anna | Statement: [Anna, title, Saint Anna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Anna Context triple: [Anna, title, Saint Anna]
-
A.
Saint Anne
chosen
Saint Anne is traditionally venerated in Christian theology as the mother of the Virgin Mary and the grandmother of Jesus.
-
B.
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.
-
C.
Saint Susanna
Saint Susanna is a Christian martyr venerated as a saint, traditionally associated with early Roman Christianity and honored in churches bearing her name.
-
D.
Aikaterine
Aikaterine is an ancient Greek female given name that is the linguistic ancestor of various forms such as Katherine and Kathleen.
-
E.
Saint Juliana
Saint Juliana is a Christian martyr and saint venerated for her steadfast faith and refusal to renounce Christianity despite severe persecution.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86f246848190a5b020c3e05d02dd |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.