Triple
T20467070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Vavasseur |
E502078
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Becoming Jane |
—
|
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: Becoming Jane | Statement: [Sophie Vavasseur, notableWork, Becoming Jane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becoming Jane Context triple: [Sophie Vavasseur, notableWork, Becoming Jane]
-
A.
Becoming Jane
chosen
Becoming Jane is a 2007 biographical drama film that imagines the early life and romantic experiences of novelist Jane Austen.
-
B.
It Happened to Jane
It Happened to Jane is a 1959 romantic comedy film starring Doris Day and Jack Lemmon, centered on a small-town widow’s battle against a powerful railroad company.
-
C.
Leave It to Jane
Leave It to Jane is a 1917 American musical comedy with music by Jerome Kern that helped define the early style of the modern musical.
-
D.
Two Janes
Two Janes is a song by the band Kiko.
-
E.
Raining Jane
Raining Jane is an American folk-rock and pop band known for their frequent songwriting and touring collaborations with Jason Mraz.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995d9d1c81909ee223a35a0850ba |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.