Triple

T12224488
Position Surface form Disambiguated ID Type / Status
Subject We Both Know E291312 entity
Predicate partOfSoundtrack P2152 FINISHED
Object Safe Haven (film) E372564 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 Haven (film) | Statement: [We Both Know, partOfSoundtrack, Safe Haven (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safe Haven (film)
Context triple: [We Both Know, partOfSoundtrack, Safe Haven (film)]
  • 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. 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.
  • C. No Safe Place
    "No Safe Place" is a memoir by Christina Crawford that continues her exploration of childhood trauma and abuse, following her famous exposé "Mommie Dearest."
  • D. Haven
    "Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
  • E. Haven
    Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa6d3d481909852a6f2f90d7a41 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.