Triple
T22152725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Vane |
E547452
|
entity |
| Predicate | relativeOf |
P367
|
FINISHED |
| Object | Sibyl Vane |
—
|
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: Sibyl Vane | Statement: [James Vane, relativeOf, Sibyl Vane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibyl Vane Context triple: [James Vane, relativeOf, Sibyl Vane]
-
A.
Sibyl Vane
chosen
Sibyl Vane is a young, talented actress whose tragic romance with Dorian Gray symbolizes innocence destroyed by vanity and moral corruption in Oscar Wilde’s novel.
-
B.
Romilda Vane
Romilda Vane is a Hogwarts student in the Harry Potter series, best known for her infatuation with Harry Potter and attempts to use love potions on him.
-
C.
Emily Brent
Emily Brent is a rigid, judgmental spinster in Agatha Christie’s mystery novel "And Then There Were None," known for her strict moralism and lack of remorse.
-
D.
Mary Tuffley
Mary Tuffley is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
-
E.
Mary Tuffley
Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f5a740819093628386732b91a6 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.