Triple
T15537476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mairi |
E370384
|
entity |
| Predicate | hasNameDayRelation |
P59993
|
FINISHED |
| Object | Mary (Christian tradition) |
E698
|
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 (Christian tradition) | Statement: [Mairi, hasNameDayRelation, Mary (Christian tradition)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary (Christian tradition) Context triple: [Mairi, hasNameDayRelation, Mary (Christian tradition)]
-
A.
Marian
Marian is a given name of Latin origin commonly used in various European countries for both males and females.
-
B.
Marian
Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
-
C.
Virgin Mary
chosen
The Virgin Mary is revered in Christianity as the mother of Jesus Christ and a central figure of faith, purity, and devotion.
-
D.
Mary, Queen of Peace
Mary, Queen of Peace is a Marian title of the Virgin Mary that emphasizes her role as an intercessor and symbol of peace for Christians worldwide.
-
E.
La Sainte Vierge
La Sainte Vierge is a modernist artwork by Francis Picabia that exemplifies his avant-garde, often irreverent approach to religious and traditional subjects.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d626e688190bd93481cfd6cb255 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:06 a.m.