Triple

T6730634
Position Surface form Disambiguated ID Type / Status
Subject Without a Paddle E153624 entity
Predicate screenwriter P2831 FINISHED
Object Tom Nursall
Tom Nursall is a screenwriter best known for co-writing the 2004 comedy adventure film "Without a Paddle."
E616966 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 Nursall | Statement: [Without a Paddle, screenwriter, Tom Nursall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Nursall
Context triple: [Without a Paddle, screenwriter, Tom Nursall]
  • A. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • B. Alan Milburn
    Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
  • C. Graham Simpson
    Graham Simpson was an English bassist best known as a founding member of the art rock band Roxy Music.
  • D. Chris Haywood
    Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
  • E. Douglas Guilfoyle
    Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
  • 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 Nursall
Triple: [Without a Paddle, screenwriter, Tom Nursall]
Generated description
Tom Nursall is a screenwriter best known for co-writing the 2004 comedy adventure film "Without a Paddle."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom Nursall
Target entity description: Tom Nursall is a screenwriter best known for co-writing the 2004 comedy adventure film "Without a Paddle."
  • A. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • B. Alan Milburn
    Alan Milburn is a British Labour politician and former Secretary of State for Health who later became a prominent figure in public service reform and higher education leadership.
  • C. Graham Simpson
    Graham Simpson was an English bassist best known as a founding member of the art rock band Roxy Music.
  • D. Chris Haywood
    Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
  • E. Douglas Guilfoyle
    Douglas Guilfoyle is an international law scholar known for his work on the law of the sea, maritime security, and international criminal law.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129f2d2c81908102eabbae3935d7 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713306b5081908161d3ec6a64cc85 completed March 27, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69c713de76d081908b275590d311d5fd completed March 27, 2026, 11:33 p.m.
Created at: March 27, 2026, 2:09 p.m.