Triple

T21448558
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Sparks E529142 entity
Predicate notableWork P4 FINISHED
Object Safe Haven 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: Safe Haven | Statement: [Nicholas Sparks, notableWork, Safe Haven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safe Haven
Context triple: [Nicholas Sparks, notableWork, Safe Haven]
  • A. Safe Haven chosen
    Safe Haven is a romantic drama film based on a Nicholas Sparks novel, centered on a mysterious young woman who starts a new life in a small coastal town while hiding a dark secret.
  • B. Safe Haven
    "Safe Haven" is a popular Afrobeats song by Nigerian singer-songwriter Omah Lay, known for its introspective lyrics and mellow, melodic production.
  • C. A Safe Place
    A Safe Place is a 1971 experimental drama film written and directed by Henry Jaglom, known for its dreamlike, non-linear narrative and performances by Tuesday Weld, Orson Welles, and Jack Nicholson.
  • D. The Haven
    The Haven is a small settlement in West Sussex, England, situated within the rural civil parish of Rudgwick.
  • E. Safe Harbor
    Safe Harbor is a 1999 television drama film starring Nancy Travis as a woman who, with her husband, takes in troubled teenage boys at their coastal inn.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.