Triple

T7603943
Position Surface form Disambiguated ID Type / Status
Subject The Lion King (2019 film) E180053 entity
Predicate storyBy P1955 FINISHED
Object Jonathan Roberts E260625 NE FINISHED

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: Jonathan Roberts | Statement: [The Lion King (2019 film), storyBy, Jonathan Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Roberts
Context triple: [The Lion King (2019 film), storyBy, Jonathan Roberts]
  • A. Jonathan Roberts chosen
    Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
  • B. Ian Roberts
    Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
  • C. Paul Roberts
    Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
  • D. Matthew B. Roberts
    Matthew B. Roberts is a television writer and producer best known for his leading creative role on the historical drama series "Outlander."
  • E. Michael Roberds
    Michael Roberds was a Canadian actor best known for playing Uncle Fester in the 1990s television adaptation of The Addams Family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7b3b7348190b3387dfee04fa51d completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:54 p.m.