Triple

T3776886
Position Surface form Disambiguated ID Type / Status
Subject Disaster Movie E83328 entity
Predicate stars P1956 FINISHED
Object Tony Cox
Tony Cox is an American actor best known for his comedic roles in films such as "Bad Santa," "Me, Myself & Irene," and various parody movies.
 E387337 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: Tony Cox | Statement: [Disaster Movie, stars, Tony Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tony Cox
Context triple: [Disaster Movie, stars, Tony Cox]
  • A. Ray Davis
    Ray Davis is an American businessman best known as the principal owner and co-chairman of Major League Baseball’s Texas Rangers.
  • B. Ray Davis
    Ray Davis was an American bass singer best known for his work with Parliament-Funkadelic who also briefly performed with The Temptations.
  • C. Don Davis
    Don Davis is an American composer best known for his innovative, genre-defining film scores for The Matrix trilogy.
  • D. Rex Walheim
    Rex Walheim is a NASA astronaut and retired U.S. Air Force colonel best known for his spacewalks on multiple Space Shuttle missions, including the final Shuttle flight, STS-135.
  • E. Bob Ainsworth
    Bob Ainsworth is a British Labour politician who served as a Member of Parliament and held several defence-related ministerial roles in the UK government.
  • 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: Tony Cox
Triple: [Disaster Movie, stars, Tony Cox]
Generated description
Tony Cox is an American actor best known for his comedic roles in films such as "Bad Santa," "Me, Myself & Irene," and various parody movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tony Cox
Target entity description: Tony Cox is an American actor best known for his comedic roles in films such as "Bad Santa," "Me, Myself & Irene," and various parody movies.
  • A. Ray Davis
    Ray Davis is an American businessman best known as the principal owner and co-chairman of Major League Baseball’s Texas Rangers.
  • B. Ray Davis
    Ray Davis was an American bass singer best known for his work with Parliament-Funkadelic who also briefly performed with The Temptations.
  • C. Don Davis
    Don Davis is an American composer best known for his innovative, genre-defining film scores for The Matrix trilogy.
  • D. Rex Walheim
    Rex Walheim is a NASA astronaut and retired U.S. Air Force colonel best known for his spacewalks on multiple Space Shuttle missions, including the final Shuttle flight, STS-135.
  • E. Bob Ainsworth
    Bob Ainsworth is a British Labour politician who served as a Member of Parliament and held several defence-related ministerial roles in the UK government.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e534a02c8190b8dd76ed965f393f completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e6b1cefc8190971e9441dc145e19 completed March 14, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea8b9d2c819088db1fdf9dc90c0c completed March 14, 2026, 4:56 a.m.
Created at: March 8, 2026, 3:36 p.m.