Triple
T13184796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary See |
E313820
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mary See |
E313820
|
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 See | Statement: [Mary See, name, Mary See]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary See Context triple: [Mary See, name, Mary See]
-
A.
Mary See
chosen
Mary See was an American candy maker whose recipes and image became the iconic foundation of the See's Candies chocolate and confectionery brand.
-
B.
Saint Audrey
Saint Audrey, also known as Æthelthryth of Ely, was a 7th-century Anglo-Saxon princess, abbess, and revered Christian saint associated with the founding of Ely Abbey in England.
-
C.
Maria Mann
Maria Mann is an individual known primarily as an alternate or alias name for Maria Kanova.
-
D.
Myra
Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
-
E.
Myra
Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:15 p.m.