Triple

T7499388
Position Surface form Disambiguated ID Type / Status
Subject Die Hard with a Vengeance E177219 entity
Predicate editedBy P1954 FINISHED
Object John Wright E401239 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: John Wright | Statement: [Die Hard with a Vengeance, editedBy, John Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Wright
Context triple: [Die Hard with a Vengeance, editedBy, John Wright]
  • A. John Wright chosen
    John Wright is a film editor best known for his work on popular Hollywood comedies, including the Adam Sandler movie "The Waterboy."
  • B. John Wright
    John Wright was an English conspirator best known for his role in the 1605 Gunpowder Plot to assassinate King James I and blow up the Houses of Parliament.
  • C. Lib Wright
    Lib Wright is the skeptical English nurse protagonist of Emma Donoghue’s novel and its film adaptation "The Wonder," sent to rural Ireland in the 19th century to investigate a girl claiming to live without food.
  • D. Lewis Wright
    Lewis Wright is a sibling of English actress and director Bonnie Wright, who is best known for playing Ginny Weasley in the Harry Potter film series.
  • E. Michael Wright
    Michael Wright is an American actor known for his roles in films and television series such as "The Five Heartbeats," "Sugar Hill," and the HBO series "Oz."
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f598dfac8190a123daaac0784aee completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c900ad081908506a2097f7fd30b completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:44 p.m.