Triple

T22428226
Position Surface form Disambiguated ID Type / Status
Subject Wonder (film) E554427 entity
Predicate starredActor P5563 FINISHED
Object Owen Wilson NE NERFINISHED

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: Owen Wilson | Statement: [Wonder (film), starredActor, Owen Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owen Wilson
Context triple: [Wonder (film), starredActor, Owen Wilson]
  • A. Owen Wilson chosen
    Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
  • B. Owen Wilson
    Owen Wilson is an Australian business executive best known as the CEO of REA Group, a leading digital real estate company.
  • C. Luke Wilson
    Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
  • D. Greg Galifianakis
    Greg Galifianakis is the brother of comedian and actor Zach Galifianakis, known primarily for his connection to the entertainer’s family.
  • E. Paul Rudd
    Paul Rudd is an American actor and comedian best known for his charming, affable roles in films like Clueless, Anchorman, and as the title superhero in Marvel’s Ant-Man series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2f054c819093fbe173c8a4a544 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.