Triple
T2840801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian |
E62460
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Marianne |
E115631
|
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: Marianne | Statement: [Marian, hasVariant, Marianne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marianne Context triple: [Marian, hasVariant, Marianne]
-
A.
Marianne Dashwood
chosen
Marianne Dashwood is the passionate, romantic younger Dashwood sister in Jane Austen’s "Sense and Sensibility," whose emotional nature and idealism contrast with her sister Elinor’s restraint and practicality.
-
B.
Fanny Dashwood
Fanny Dashwood is a selfish and manipulative character in Jane Austen's novel "Sense and Sensibility," known for her greed and unkind treatment of her in-laws.
-
C.
Lucy Aikin
Lucy Aikin was a prominent English historian, biographer, and writer of the late 18th and early 19th centuries, best known for her historical works on the courts of Elizabeth I and James I.
-
D.
Catherine
Catherine is a feminine given name of Greek origin, derived from Aikaterine and widely used in various forms across many cultures.
-
E.
Marianne Stone
Marianne Stone was a British character actress known for her prolific supporting roles in numerous mid-20th-century films and television series.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8cf32d08190bda89a513082813f |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 10:01 p.m.