Triple
T277570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Mary Magdalene Church, Woodstock |
E5281
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | Mary Magdalene |
E19963
|
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: Mary Magdalene | Statement: [St Mary Magdalene Church, Woodstock, dedicatedTo, Mary Magdalene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Magdalene Context triple: [St Mary Magdalene Church, Woodstock, dedicatedTo, Mary Magdalene]
-
A.
Mary Magdalene
chosen
Mary Magdalene is a prominent New Testament figure known as a devoted follower of Jesus who witnessed his crucifixion and was the first to see the resurrected Christ.
-
B.
Pauline
Pauline is a feminine given name used in various languages, often considered the female form of Paul.
-
C.
Virgin Mary
The Virgin Mary is revered in Christianity as the mother of Jesus Christ and a central figure of faith, purity, and devotion.
-
D.
Sister Margaret
Sister Margaret is a central nun protagonist in the film "Come to the Stable," known for her faith-driven determination and gentle leadership.
-
E.
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.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25ded68c88190b1fc595ce329aeb9 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a394a13b688190951b070facd01d8c |
completed | March 1, 2026, 1:21 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.