Triple

T20183524
Position Surface form Disambiguated ID Type / Status
Subject Anaconda (1997 film) E492792 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: [Anaconda (1997 film), starredActor, Owen Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Owen Wilson
Context triple: [Anaconda (1997 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.