Triple

T3276843
Position Surface form Disambiguated ID Type / Status
Subject Lady and the Tramp E68777 entity
Predicate mainCharacter P1183 FINISHED
Object Trusty
Trusty is the elderly, good-natured bloodhound in Disney’s *Lady and the Tramp* known for his loyalty, Southern drawl, and fading sense of smell.
 E345345 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: Trusty | Statement: [Lady and the Tramp, mainCharacter, Trusty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trusty
Context triple: [Lady and the Tramp, mainCharacter, Trusty]
  • A. Loyal
    "Loyal" is a popular R&B/hip-hop song best known for its catchy hook and multiple high-profile guest features, including Ty Dolla Sign.
  • B. Trauen
    Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
  • C. Troost
    Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
  • D. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • E. Surefire
    "Surefire" is a song by the American singer-songwriter Jon Bellion, featured on his album "The Human Condition."
  • 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: Trusty
Triple: [Lady and the Tramp, mainCharacter, Trusty]
Generated description
Trusty is the elderly, good-natured bloodhound in Disney’s *Lady and the Tramp* known for his loyalty, Southern drawl, and fading sense of smell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trusty
Target entity description: Trusty is the elderly, good-natured bloodhound in Disney’s *Lady and the Tramp* known for his loyalty, Southern drawl, and fading sense of smell.
  • A. Loyal
    "Loyal" is a popular R&B/hip-hop song best known for its catchy hook and multiple high-profile guest features, including Ty Dolla Sign.
  • B. Trauen
    Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
  • C. Troost
    Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
  • D. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • E. Surefire
    "Surefire" is a song by the American singer-songwriter Jon Bellion, featured on his album "The Human Condition."
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84a3c2c8190908152fc042fcad1 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e939460481909743b49e274b693e completed March 12, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.