Triple

T13434663
Position Surface form Disambiguated ID Type / Status
Subject To Die For E320198 entity
Predicate editedBy P1954 FINISHED
Object Curtis Clayton E1042854 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: Curtis Clayton | Statement: [To Die For, editedBy, Curtis Clayton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curtis Clayton
Context triple: [To Die For, editedBy, Curtis Clayton]
  • A. Curtis Clayton chosen
    Curtis Clayton is an American film editor best known for his work on independent films such as "Drugstore Cowboy."
  • B. Curtiss Clayton
    Curtiss Clayton is an American film editor known for his work on independent and art-house films, including the cult favorite "Buffalo ’66."
  • C. Curtis Stinson
    Curtis Stinson is an American professional basketball player and standout point guard known for his prolific career in the NBA Development League and overseas after starring at Iowa State University.
  • D. Clint Mathis
    Clint Mathis is a retired American soccer forward best known for his prolific scoring in Major League Soccer and his role with the U.S. national team, including at the 2002 FIFA World Cup.
  • E. Clayton Mark
    Clayton Mark was an American industrialist and philanthropist best known for creating the planned worker community of Marktown in East Chicago, Indiana.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee29fec81908b07b4fca2922242 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547880d48190af9b30e4e521a952 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:40 p.m.