Triple

T15047948
Position Surface form Disambiguated ID Type / Status
Subject Victor Frankenstein (2015 film) E379278 entity
Predicate stars P1956 FINISHED
Object Daniel Radcliffe E95151 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: Daniel Radcliffe | Statement: [Victor Frankenstein (2015 film), stars, Daniel Radcliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Radcliffe
Context triple: [Victor Frankenstein (2015 film), stars, Daniel Radcliffe]
  • A. Daniel Radcliffe chosen
    Daniel Radcliffe is an English actor best known for playing the title role in the Harry Potter film series.
  • B. Rupert Grint
    Rupert Grint is an English actor best known for playing Ron Weasley in the Harry Potter film series.
  • C. James Norton
    James Norton is a British actor known for his roles in television series such as "Grantchester," "Happy Valley," and "McMafia," as well as various film and stage productions.
  • D. Harry Melling
    Harry Melling is an English actor known for his role as Dudley Dursley in the Harry Potter film series and for his later work in film and television, including acclaimed character performances in period dramas and thrillers.
  • E. JasonBiggs
    JasonBiggs is an American actor best known for his role as Jim Levenstein in the "American Pie" film series.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.