Triple

T12869360
Position Surface form Disambiguated ID Type / Status
Subject Julie Anne Smith E307806 entity
Predicate notableWork P4 FINISHED
Object Safe E307809 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: Safe | Statement: [Julie Anne Smith, notableWork, Safe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safe
Context triple: [Julie Anne Smith, notableWork, Safe]
  • A. Safe chosen
    Safe is a 1995 psychological drama film directed by Todd Haynes, in which Julianne Moore plays a suburban housewife who develops a mysterious environmental illness, exploring themes of alienation, illness, and societal anxiety.
  • B. Safe
    Safe is a 2012 action thriller film starring Jason Statham as a former elite agent who protects a young girl with a memorized code sought by the Triads, the Russian mob, and corrupt officials.
  • C. SAFE
    SAFE (Saving Animals From Extinction) is a conservation initiative dedicated to protecting and recovering endangered animal species and their habitats.
  • D. SAFE
    SAFE is a World Customs Organization framework that sets global standards to enhance the security and efficiency of international trade and supply chains.
  • E. Safer
    Safer is the surname of Morley Safer, the renowned Canadian-American broadcast journalist best known for his long tenure as a correspondent on CBS's 60 Minutes.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.