Triple

T6156960
Position Surface form Disambiguated ID Type / Status
Subject American Pie 2 E137344 entity
Predicate castMember P1668 FINISHED
Object Thomas Ian Nicholas E556138 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: Thomas Ian Nicholas | Statement: [American Pie 2, castMember, Thomas Ian Nicholas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Ian Nicholas
Context triple: [American Pie 2, castMember, Thomas Ian Nicholas]
  • A. Thomas Ian Nicholas chosen
    Thomas Ian Nicholas is an American actor and musician best known for playing Kevin Myers in the "American Pie" film series.
  • B. Stephen Graham
    Stephen Graham is an English character actor known for his intense, often gritty performances in films and television series such as "This Is England," "Boardwalk Empire," and "The Irishman."
  • C. David Miner
    David Miner is a television producer known for his work on acclaimed comedy series such as Unbreakable Kimmy Schmidt.
  • D. Michael Patrick King
    Michael Patrick King is an American writer, director, and producer best known for his work on the television series "Sex and the City" and its related projects.
  • E. Gregory Jacobs
    Gregory Jacobs is an American film producer and director known for his longtime collaboration with Steven Soderbergh on numerous critically acclaimed movies.
  • 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.