Triple
T6070124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Nazareth |
E135259
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object | Titles of Mary |
E167638
|
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: Titles of Mary | Statement: [Our Lady of Nazareth, category, Titles of Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Titles of Mary Context triple: [Our Lady of Nazareth, category, Titles of Mary]
-
A.
Titles of Mary
chosen
The Titles of Mary are the various honorific names and epithets used in Christian tradition to express theological beliefs and devotional reverence for the Virgin Mary.
-
B.
Marian
Marian is a given name of Latin origin commonly used in various European countries for both males and females.
-
C.
Elizabeth of the Trinity
Elizabeth of the Trinity was a French Discalced Carmelite nun and mystic, known for her profound writings on contemplative prayer and the indwelling of the Holy Trinity.
-
D.
Queen of Peace
"Queen of Peace" is a dramatic, orchestral indie rock song by Florence and the Machine known for its sweeping arrangement and emotional intensity.
-
E.
People’s Princess
The "People’s Princess" is a widely used media nickname for Diana, Princess of Wales, highlighting her popularity, compassion, and close connection with the public.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05742867481908e3f45c875807c73 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d349f288190833384eb9e6c7f52 |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:10 p.m.