Triple
T22767222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betsy’s Wedding |
E563158
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Betsy’s Wedding |
—
|
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: Betsy’s Wedding | Statement: [Betsy’s Wedding, title, Betsy’s Wedding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy’s Wedding Context triple: [Betsy’s Wedding, title, Betsy’s Wedding]
-
A.
Betsy’s Wedding
chosen
Betsy’s Wedding is a 1990 romantic comedy film about a young woman’s chaotic wedding plans, best known for starring Molly Ringwald.
-
B.
After the Wedding
After the Wedding is a 2006 Danish drama film directed by Susanne Bier that explores complex family secrets and moral dilemmas surrounding an orphanage worker invited to a wealthy benefactor’s daughter’s wedding.
-
C.
The Wedding
"The Wedding" is a novel by American author Oneida that explores complex relationships and social dynamics surrounding marriage.
-
D.
The Wedding
"The Wedding" is a romantic drama film featuring Cynda Williams in a prominent role, exploring themes of love, family, and commitment.
-
E.
The Wedding
"The Wedding" is a 2000 Russian comedy-drama film directed by Pavel Lungin that portrays the chaotic and humorous events surrounding a provincial wedding.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80e2688190b76844c408929d32 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.