Triple

T21481454
Position Surface form Disambiguated ID Type / Status
Subject Asta E530002 entity
Predicate portrayedBy P1507 FINISHED
Object Skippy (dog)
Skippy was a famous Wire Fox Terrier actor best known for appearing as Asta in the 1930s Thin Man film series.
E1486121 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: Skippy (dog) | Statement: [Asta, portrayedBy, Skippy (dog)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skippy (dog)
Context triple: [Asta, portrayedBy, Skippy (dog)]
  • A. Skippy
    Skippy is a 1931 American comedy-drama film, based on a popular comic strip, that earned Jackie Cooper an Academy Award nomination as one of Hollywood’s earliest child stars.
  • B. Skippy
    Skippy is a popular American brand best known for its peanut butter products.
  • C. 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."
  • D. Piper the Dog
    Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
  • E. Spike the Bulldog
    Spike the Bulldog is the costumed canine figure that represents Drake University at its athletic events and school functions.
  • 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: Skippy (dog)
Triple: [Asta, portrayedBy, Skippy (dog)]
Generated description
Skippy was a famous Wire Fox Terrier actor best known for appearing as Asta in the 1930s Thin Man film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skippy (dog)
Target entity description: Skippy was a famous Wire Fox Terrier actor best known for appearing as Asta in the 1930s Thin Man film series.
  • A. Skippy
    Skippy is a 1931 American comedy-drama film, based on a popular comic strip, that earned Jackie Cooper an Academy Award nomination as one of Hollywood’s earliest child stars.
  • B. Skippy
    Skippy is a popular American brand best known for its peanut butter products.
  • C. 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."
  • D. Piper the Dog
    Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
  • E. Spike the Bulldog
    Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfff6dec8190ab480491c4a3f641 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d0cd3068819094392cc4b7c6d061 completed May 17, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09d1b4f4748190b5d4edfc298272e4 completed May 17, 2026, 2:33 p.m.
Created at: April 16, 2026, 6:21 p.m.