Triple

T10752267
Position Surface form Disambiguated ID Type / Status
Subject Case 39 E253598 entity
Predicate screenwriter P2831 FINISHED
Object Ray Wright
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
E931631 NE FINISHED

How this triple was built (4 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: Ray Wright | Statement: [Case 39, screenwriter, Ray Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Wright
Context triple: [Case 39, screenwriter, Ray Wright]
  • A. Austin Wright
    Austin Wright was an American novelist and academic best known for his psychological thriller "Tony and Susan," which was later adapted into the film "Nocturnal Animals."
  • B. 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.
  • C. Brian Wright
    Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
  • D. R. Douglas Wright
    R. Douglas Wright is a distinguished American trombonist and educator known for his prominent orchestral and conservatory teaching roles.
  • E. Tom Wright
    Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ray Wright
Triple: [Case 39, screenwriter, Ray Wright]
Generated description
Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ray Wright
Target entity description: Ray Wright is a screenwriter known for his work on the film "Case 39" and other genre-focused screenplays.
  • A. Austin Wright
    Austin Wright was an American novelist and academic best known for his psychological thriller "Tony and Susan," which was later adapted into the film "Nocturnal Animals."
  • B. 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.
  • C. Brian Wright
    Brian Wright is an NBA executive best known as the general manager responsible for overseeing basketball operations and roster decisions for the San Antonio Spurs.
  • D. R. Douglas Wright
    R. Douglas Wright is a distinguished American trombonist and educator known for his prominent orchestral and conservatory teaching roles.
  • E. Tom Wright
    Tom Wright is a British architect best known for designing Dubai’s iconic sail-shaped Burj Al Arab hotel.
  • F. None of above. chosen

Provenance (5 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc184d0819085f8bc4edb034377 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
NEDg Description generation batch_69e68ce8d7988190a0dd3abe5f2afc97 completed April 20, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:15 p.m.