Triple
T23023397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Biggs |
E573228
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Boys and Girls |
—
|
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: Boys and Girls | Statement: [Jason Biggs, notableWork, Boys and Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boys and Girls Context triple: [Jason Biggs, notableWork, Boys and Girls]
-
A.
Boys and Girls
chosen
"Boys and Girls" is a 2000 romantic comedy film starring Freddie Prinze Jr., Claire Forlani, and Jason Biggs that follows two college students whose longtime antagonistic relationship slowly turns into romance.
-
B.
Boys and Girls
"Boys and Girls" is a novel by Australian author Nikki Gemmell that continues her exploration of female identity, sexuality, and relationships in contemporary society.
-
C.
Boys and Girls
Boys and Girls is a short story by Alice Munro that explores gender roles and coming-of-age through the perspective of a young girl growing up on a Canadian fox farm.
-
D.
Boys and Girls
"Boys and Girls" is a pop song by English singer Pixie Lott that became one of her early hit singles.
-
E.
Boys & Girls
"Boys & Girls" is a music release, likely an album or EP, known for including the track "Be Mine."
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847b86688190b678d0d09ecd3c3d |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:52 p.m.