Triple
T22147920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Rasmussen |
E547336
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | License to Wed |
—
|
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: License to Wed | Statement: [Tim Rasmussen, notableWork, License to Wed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: License to Wed Context triple: [Tim Rasmussen, notableWork, License to Wed]
-
A.
License to Wed
chosen
License to Wed is a 2007 romantic comedy film in which a young couple’s plans to marry are complicated by an eccentric minister’s demanding pre-marital course.
-
B.
The Wedding
"The Wedding" is a romantic drama film featuring Cynda Williams in a prominent role, exploring themes of love, family, and commitment.
-
C.
The Wedding
"The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
-
D.
The Wedding
"The Wedding" is the concluding installment of the romantic comedy series "Him & Her," centering on the chaotic and heartfelt events surrounding the main couple’s long-awaited marriage.
-
E.
The Wedding
"The Wedding" is a novel by American author Oneida that explores complex relationships and social dynamics surrounding marriage.
- 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_69f129f209688190afea1f275c922c73 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.