Triple
T18376033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marián |
E446315
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object | Marian (English unaccented form) |
—
|
NE NERFINISHED |
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: Marian (English unaccented form) | Statement: [Marián, isDistinctFrom, Marian (English unaccented form)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marian (English unaccented form) Context triple: [Marián, isDistinctFrom, Marian (English unaccented form)]
-
A.
Marian
chosen
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.
Maryanne
Maryanne is a feminine given name, often used in English-speaking countries as a variant of Mary Ann or Marianne.
-
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.
Mariann
Mariann is the given name of Mariann Edgar Budde, an American Episcopal bishop known for her leadership in the Episcopal Diocese of Washington.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:45 a.m.