Triple

T5752800
Position Surface form Disambiguated ID Type / Status
Subject Joe Swanberg E126890 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Adam Wingard E225893 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: Adam Wingard | Statement: [Joe Swanberg, hasCollaboratedWith, Adam Wingard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Wingard
Context triple: [Joe Swanberg, hasCollaboratedWith, Adam Wingard]
  • A. Adam Wingard chosen
    Adam Wingard is an American filmmaker best known for directing high-profile genre movies such as Godzilla vs. Kong and its sequel within the MonsterVerse franchise.
  • B. Nico Parker
    Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
  • C. Mick Garris
    Mick Garris is an American filmmaker and screenwriter best known for his work in the horror genre and for creating and directing numerous Stephen King adaptations for film and television.
  • D. Michael Flanagan
    Michael Flanagan is a common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
  • E. Vincenzo Natali
    Vincenzo Natali is a Canadian filmmaker best known for directing the cult science fiction horror film "Cube" and other visually inventive genre 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029014588819094a2a0f6f9b66bab completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e3e71988190a938a6d175023028 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.