Triple

T7499569
Position Surface form Disambiguated ID Type / Status
Subject Snakes on a Plane E177222 entity
Predicate stars P1956 FINISHED
Object Tom Butler
Tom Butler is a Canadian actor known for his supporting roles in numerous film and television productions, including the thriller "Snakes on a Plane."
 E668114 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: Tom Butler | Statement: [Snakes on a Plane, stars, Tom Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Butler
Context triple: [Snakes on a Plane, stars, Tom Butler]
  • A. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • B. Hugh Butler
    Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • C. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • D. Hubert Butler
    Hubert Butler was an Irish essayist, historian, and human rights advocate known for his writings on Irish identity, nationalism, and European affairs.
  • E. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • 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: Tom Butler
Triple: [Snakes on a Plane, stars, Tom Butler]
Generated description
Tom Butler is a Canadian actor known for his supporting roles in numerous film and television productions, including the thriller "Snakes on a Plane."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Butler
Target entity description: Tom Butler is a Canadian actor known for his supporting roles in numerous film and television productions, including the thriller "Snakes on a Plane."
  • A. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • B. Hugh Butler
    Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • C. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • D. Hubert Butler
    Hubert Butler was an Irish essayist, historian, and human rights advocate known for his writings on Irish identity, nationalism, and European affairs.
  • E. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • 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_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.
NEDg Description generation batch_69c83d27190481909e6659ef83d3fde7 completed March 28, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_69c83de0163c8190a16ea88ef24269d9 completed March 28, 2026, 8:45 p.m.
Created at: March 27, 2026, 3:44 p.m.