Triple

T22026679
Position Surface form Disambiguated ID Type / Status
Subject Tommy Rettig E543983 entity
Predicate notableWork P4 FINISHED
Object Lassie NE NERFINISHED

How this triple was built (2 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: [Tommy Rettig, notableWork, Lassie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lassie
Context triple: [Tommy Rettig, notableWork, Lassie]
  • A. Lassie chosen
    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.
  • 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. 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.
  • D. Laika
    Laika was a British indie band known for its experimental blend of electronic, jazz, and post-rock elements in the 1990s and early 2000s.
  • E. Balto
    Balto is the famous sled dog who led his team on the final leg of the 1925 serum run to Nome, Alaska, becoming a symbol of bravery and endurance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ccc2ec8190a94d69530d00c06c completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.