Triple

T14808541
Position Surface form Disambiguated ID Type / Status
Subject Hooch E348106 entity
Predicate portrayedBy P1507 FINISHED
Object Beasley the Dog
Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
 E1120335 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: Beasley the Dog | Statement: [Hooch, portrayedBy, Beasley the Dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beasley the Dog
Context triple: [Hooch, portrayedBy, Beasley the Dog]
  • A. Piper the Dog
    Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
  • B. Ralph the Dog
    Ralph the Dog is the costumed canine mascot of the Canadian Football League’s Calgary Stampeders, known for entertaining fans at games and team events.
  • C. Hector the Bulldog
    Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
  • D. Jake the Dog
    Jake the Dog is a magical, shape-shifting dog and one of the two main protagonists of the animated television series Adventure Time.
  • E. Gumbo the Dog
    Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
  • 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: Beasley the Dog
Triple: [Hooch, portrayedBy, Beasley the Dog]
Generated description
Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beasley the Dog
Target entity description: Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
  • A. Piper the Dog
    Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
  • B. Ralph the Dog
    Ralph the Dog is the costumed canine mascot of the Canadian Football League’s Calgary Stampeders, known for entertaining fans at games and team events.
  • C. Hector the Bulldog
    Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
  • D. Jake the Dog
    Jake the Dog is a magical, shape-shifting dog and one of the two main protagonists of the animated television series Adventure Time.
  • E. Gumbo the Dog
    Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe28222dc48190bca61ea273172950 completed May 8, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_69fe28ba11a4819092e13669c53e6ecd completed May 8, 2026, 6:17 p.m.
Created at: April 10, 2026, 1:45 a.m.