Triple

T5166476
Position Surface form Disambiguated ID Type / Status
Subject Robert Shayne E116571 entity
Predicate appearedIn P795 FINISHED
Object Lassie
Lassie is a famous fictional Rough Collie dog character best known as the heroic star of a long-running American television series and numerous films and books.
E500258 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: Lassie | Statement: [Robert Shayne, appearedIn, Lassie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lassie
Context triple: [Robert Shayne, appearedIn, Lassie]
  • A. Laika
    Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
  • B. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • C. Gentle Ben
    Gentle Ben is a 1960s American family television series centered on the friendship between a young boy and a tame black bear in the Florida Everglades.
  • D. Flicka
    Flicka is a 2006 family drama film about a teenage girl and her bond with a wild mustang, adapted from the classic novel "My Friend Flicka."
  • E. Piper the Dog
    Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
  • 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: Lassie
Triple: [Robert Shayne, appearedIn, Lassie]
Generated description
Lassie is a famous fictional Rough Collie dog character best known as the heroic star of a long-running American television series and numerous films and books.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lassie
Target entity description: Lassie is a famous fictional Rough Collie dog character best known as the heroic star of a long-running American television series and numerous films and books.
  • A. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • B. Laika
    Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
  • C. Gentle Ben
    Gentle Ben is a 1960s American family television series centered on the friendship between a young boy and a tame black bear in the Florida Everglades.
  • D. Flicka
    Flicka is a 2006 family drama film about a teenage girl and her bond with a wild mustang, adapted from the classic novel "My Friend Flicka."
  • E. Piper the Dog
    Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792c5ea88190b6aa0e519c744155 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed93b85188190927d448e09a46425 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedbd301088190908d050425c6cda7 completed March 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69bedc65fcdc8190bc99c0d049e4dd94 completed March 21, 2026, 5:59 p.m.
Created at: March 20, 2026, 1:44 p.m.