Triple

T19533387
Position Surface form Disambiguated ID Type / Status
Subject Luv Is Rage E488709 entity
Predicate hasPart P35 FINISHED
Object Safe House E728168 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 House | Statement: [Luv Is Rage, hasPart, Safe House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safe House
Context triple: [Luv Is Rage, hasPart, Safe House]
  • A. Safe House
    Safe House is a British television drama series featuring Steven Mackintosh in a prominent role, centered on a former detective who turns his remote guest house into a police safe house.
  • B. Safe House chosen
    Safe House is a 2012 action thriller film starring Denzel Washington and Ryan Reynolds, centered on a young CIA agent tasked with guarding a dangerous fugitive in a compromised safe house in South Africa.
  • C. Safe House
    Safe House is a 1998 American thriller film starring Patrick Stewart as a retired intelligence agent whose past comes back to haunt him.
  • D. Our House
    Our House is an American family drama television series from the 1980s starring Wilford Brimley as the gruff but caring patriarch of a multigenerational household.
  • E. Our House
    Our House is a satirical play by Theresa Rebeck that critiques the intersection of reality television, corporate media, and American culture.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6364091f4819088b27d0ffdf6010d completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e7d3614819082a1d6fe252ee95a completed May 15, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:41 p.m.