Triple
T5128133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianne Dashwood |
E115631
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dashwood |
E116970
|
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: Dashwood | Statement: [Marianne Dashwood, familyName, Dashwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dashwood Context triple: [Marianne Dashwood, familyName, Dashwood]
-
A.
Dashwood
chosen
Dashwood is the surname of the central family in Jane Austen's novel "Sense and Sensibility," including the character Elinor Dashwood.
-
B.
Sense and Sensibility
Sense and Sensibility is a 1995 British period drama film adaptation of Jane Austen’s novel, acclaimed for its screenplay by and starring Emma Thompson.
-
C.
Persuasion
"Persuasion" is a television film adaptation of Jane Austen's novel, featuring Sophie Thompson in a prominent role.
-
D.
Winterbourne
Winterbourne is a large village and civil parish in South Gloucestershire, England, situated near Bristol and known for its suburban character and local amenities.
-
E.
So Long, Marianne
"So Long, Marianne" is a classic Leonard Cohen song, celebrated as one of his most enduring and intimate folk ballads about love and separation.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd782428a081909583c7f368226daf |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4beb7b48190a2f4e41a13fdd5f3 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.