Triple

T16146978
Position Surface form Disambiguated ID Type / Status
Subject Max (the dog) E391808 entity
Predicate portrayedBy P1507 FINISHED
Object Topsy (dog actor)
Topsy was a canine actor best known for playing the character Max the dog.
 E1196941 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: Topsy (dog actor) | Statement: [Max (the dog), portrayedBy, Topsy (dog actor)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Topsy (dog actor)
Context triple: [Max (the dog), portrayedBy, Topsy (dog actor)]
  • A. Mopsy
    Mopsy is one of Peter Rabbit’s well-behaved sister rabbits in Beatrix Potter’s classic children’s stories.
  • B. 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."
  • C. Roscoe the Lion
    Roscoe the Lion is the official lion mascot representing The College of New Jersey at its athletic events and campus activities.
  • D. McFogg the Dog
    McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
  • 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: Topsy (dog actor)
Triple: [Max (the dog), portrayedBy, Topsy (dog actor)]
Generated description
Topsy was a canine actor best known for playing the character Max the dog.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Topsy (dog actor)
Target entity description: Topsy was a canine actor best known for playing the character Max the dog.
  • A. Mopsy
    Mopsy is one of Peter Rabbit’s well-behaved sister rabbits in Beatrix Potter’s classic children’s stories.
  • B. 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."
  • C. Roscoe the Lion
    Roscoe the Lion is the official lion mascot representing The College of New Jersey at its athletic events and campus activities.
  • D. McFogg the Dog
    McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d947e68819081b4b7c757ce71b6 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a7dc3481909f933acd72d6feff completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff81bb0008190947eeff64dc8eb88 completed May 10, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_69fff8905ce48190b99f8cc3504efba2 completed May 10, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:01 a.m.