Triple

T14455145
Position Surface form Disambiguated ID Type / Status
Subject American Wedding E358439 entity
Predicate portrayedBy P1507 FINISHED
Object Jason 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 Biggs | Statement: [American Wedding, portrayedBy, Jason Biggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Biggs
Context triple: [American Wedding, portrayedBy, Jason 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. Josh Peck
    Josh Peck is an American actor and comedian best known for his role on the Nickelodeon series "Drake & Josh" and his subsequent work in film, television, and online media.
  • 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. Chris O'Donnell
    Chris O'Donnell is an American actor best known for his film roles in the 1990s and for starring as Special Agent G. Callen on the television series NCIS: Los Angeles.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649177108190be32af72dcae04ee completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.