Triple

T3621384
Position Surface form Disambiguated ID Type / Status
Subject Blades of Glory E76734 entity
Predicate screenwriter P2831 FINISHED
Object Craig Cox
Craig Cox is a screenwriter best known for co-writing the comedy film "Blades of Glory."
 E372930 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: Craig Cox | Statement: [Blades of Glory, screenwriter, Craig Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Craig Cox
Context triple: [Blades of Glory, screenwriter, Craig Cox]
  • A. Joel Cox
    Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
  • B. Craig Neal
    Craig Neal is an American basketball coach and former player best known for serving as head coach of the University of New Mexico Lobos men's basketball team.
  • C. Josh Cooley
    Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
  • D. Ryan Crocker
    Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
  • E. Jeff Cox
    Jeff Cox is an American screenwriter best known for co-writing the comedy film "Blades of Glory."
  • 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: Craig Cox
Triple: [Blades of Glory, screenwriter, Craig Cox]
Generated description
Craig Cox is a screenwriter best known for co-writing the comedy film "Blades of Glory."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Craig Cox
Target entity description: Craig Cox is a screenwriter best known for co-writing the comedy film "Blades of Glory."
  • A. Joel Cox
    Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
  • B. Craig Neal
    Craig Neal is an American basketball coach and former player best known for serving as head coach of the University of New Mexico Lobos men's basketball team.
  • C. Josh Cooley
    Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
  • D. Ryan Crocker
    Ryan Crocker is a veteran American diplomat and former U.S. ambassador to multiple Middle Eastern countries, noted for his key role in U.S. foreign policy in the region.
  • E. Jeff Cox chosen
    Jeff Cox is an American screenwriter best known for co-writing the comedy film "Blades of Glory."
  • F. None of above.

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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b9aa608190a680b250ecf63156 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f0e8d1c8190ae1728d07d5a9e87 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b452bcaec08190bd01e54d4b5acf3b completed March 13, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69b45b4c86e08190bc571a13696c9078 completed March 13, 2026, 6:45 p.m.
Created at: March 8, 2026, 3:23 p.m.