Triple

T6156948
Position Surface form Disambiguated ID Type / Status
Subject American Pie 2 E137344 entity
Predicate editedBy P1954 FINISHED
Object Stuart H. Pappé E61608 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: Stuart H. Pappé | Statement: [American Pie 2, editedBy, Stuart H. Pappé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart H. Pappé
Context triple: [American Pie 2, editedBy, Stuart H. Pappé]
  • A. Stuart H. Pappé chosen
    Stuart H. Pappé is a film editor best known for his work on the romantic comedy-drama film "The Preacher's Wife."
  • B. Andrew Rabinovich
    Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
  • C. Norman Finkelstein
    Norman Finkelstein is an American political scientist, author, and commentator known for his controversial critiques of Israeli policy and the politics surrounding the Holocaust.
  • D. Phil Goldstone
    Phil Goldstone was an American film producer and director active in the 1920s and 1930s, known for his work on low-budget genre films in Hollywood.
  • E. Laurence Marks
    Laurence Marks is a British television writer and producer best known for co-creating popular sitcoms such as "Birds of a Feather" and "Goodnight Sweetheart."
  • 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_69c141867fac819093a3093aa8251eac completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.