Triple
T6156982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Biggs |
E137345
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Jason Matthew Biggs |
E137345
|
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: Jason Matthew Biggs | Statement: [Jason Biggs, fullName, Jason Matthew Biggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Matthew Biggs Context triple: [Jason Biggs, fullName, Jason Matthew Biggs]
-
A.
Jason Biggs
chosen
Jason Biggs is an American actor best known for his comedic role as Jim Levenstein in the "American Pie" film series.
-
B.
Mark-Paul Gosselaar
Mark-Paul Gosselaar is an American actor best known for his roles on the TV series "Saved by the Bell" and "NYPD Blue."
-
C.
Josh Stewart
Josh Stewart is an American actor known for his roles in films like "The Collector" series and "The Dark Knight Rises" as well as television shows such as "Criminal Minds."
-
D.
Steve Oedekerk
Steve Oedekerk is an American comedian, writer, director, and producer known for his work on films like "Ace Ventura: When Nature Calls," "Kung Pow! Enter the Fist," and the "Thumbs!" parody series.
-
E.
Skeet Ulrich
Skeet Ulrich is an American actor best known for his roles in films like "Scream" and "The Craft" and the television series "Jericho."
- 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_69c16edb92048190ba47571e28db3cb6 |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:17 p.m.