Triple
T6156963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Pie 2 |
E137344
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Seann William Scott |
E138597
|
NE FINISHED |
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: Seann William Scott | Statement: [American Pie 2, castMember, Seann William Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seann William Scott Context triple: [American Pie 2, castMember, Seann William Scott]
-
A.
Seann William Scott
chosen
Seann William Scott is an American actor and comedian best known for his role as Steve Stifler in the "American Pie" film series.
-
B.
Stephen Dorff
Stephen Dorff is an American actor known for his intense performances in films such as "Blade," "Somewhere," and numerous independent and genre movies.
-
C.
Angus Macfadyen
Angus Macfadyen is a Scottish actor best known for his roles in films such as "Braveheart," "Equilibrium," and "Saw III," as well as numerous television appearances.
-
D.
Casper Van Dien
Casper Van Dien is an American actor best known for his leading role as Johnny Rico in the science fiction film "Starship Troopers."
-
E.
Justin Long
Justin Long is an American actor known for his comedic and romantic comedy roles in films like "Dodgeball," "Accepted," and the "I'm a Mac" Apple commercials.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3177588190970a45af0d43b04c |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1418ba6488190aaf8d3070555d60a |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.