Triple

T15973435
Position Surface form Disambiguated ID Type / Status
Subject PAW Patrol: The Mighty Movie E387379 entity
Predicate writer P1360 FINISHED
Object Shane Morris
Shane Morris is a screenwriter known for his work on animated family films, including contributing to the script for "PAW Patrol: The Mighty Movie."
E1186434 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: Shane Morris | Statement: [PAW Patrol: The Mighty Movie, writer, Shane Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shane Morris
Context triple: [PAW Patrol: The Mighty Movie, writer, Shane Morris]
  • A. Shane Morris
    Shane Morris is a screenwriter best known for co-writing the story for Disney's animated film "Frozen."
  • B. Shane Fontayne
    Shane Fontayne is a British rock guitarist and session musician best known for his work with artists such as Bruce Springsteen and Lone Justice.
  • C. Shane Deary
    Shane Deary is an American carpenter and contractor known for his past marriage to actress Keri Russell.
  • D. Shane McDermott
    Shane McDermott is an American actor best known for his leading role as a laid-back inline skater in the 1993 teen sports comedy film "Airborne."
  • E. Shaun Wylie
    Shaun Wylie was a British mathematician and World War II codebreaker at Bletchley Park, known for his work in topology and for mentoring prominent mathematicians.
  • 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: Shane Morris
Triple: [PAW Patrol: The Mighty Movie, writer, Shane Morris]
Generated description
Shane Morris is a screenwriter known for his work on animated family films, including contributing to the script for "PAW Patrol: The Mighty Movie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shane Morris
Target entity description: Shane Morris is a screenwriter known for his work on animated family films, including contributing to the script for "PAW Patrol: The Mighty Movie."
  • A. Shane Morris
    Shane Morris is a screenwriter best known for co-writing the story for Disney's animated film "Frozen."
  • B. Shane Fontayne
    Shane Fontayne is a British rock guitarist and session musician best known for his work with artists such as Bruce Springsteen and Lone Justice.
  • C. Shane Deary
    Shane Deary is an American carpenter and contractor known for his past marriage to actress Keri Russell.
  • D. Shane McDermott
    Shane McDermott is an American actor best known for his leading role as a laid-back inline skater in the 1993 teen sports comedy film "Airborne."
  • E. Shaun Wylie
    Shaun Wylie was a British mathematician and World War II codebreaker at Bletchley Park, known for his work in topology and for mentoring prominent mathematicians.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572a8fd8819092ae1766324b1345 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8afa288190838cb35b8a4fcf50 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3f40288190a59646124e06a864 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfddd0348190baab794f613c71bf completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:54 a.m.