Triple

T13258132
Position Surface form Disambiguated ID Type / Status
Subject Kenny Johnson E315715 entity
Predicate televisionSeriesAppearance P57975 FINISHED
Object Saving Grace E1031649 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: Saving Grace | Statement: [Kenny Johnson, televisionSeriesAppearance, Saving Grace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saving Grace
Context triple: [Kenny Johnson, televisionSeriesAppearance, Saving Grace]
  • A. Saving Grace
    Saving Grace is a 2000 British comedy film about a recently widowed woman who turns to growing cannabis to solve her financial troubles.
  • B. Saving Grace chosen
    Saving Grace is an American crime drama television series starring Holly Hunter as a troubled Oklahoma City detective who receives guidance from a celestial messenger.
  • C. My Saving Grace
    "My Saving Grace" is a gospel-influenced ballad by Mariah Carey, featured on her 2002 album "Charmbracelet."
  • D. Storm & Grace
    Storm & Grace is a rootsy, Americana-influenced studio album by Lisa Marie Presley that showcases a more stripped-down, introspective musical style.
  • E. All of Grace
    All of Grace is a classic Christian devotional book by Charles Spurgeon that explains the doctrine of salvation by grace through faith in simple, accessible language.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716c90c5c8190a6de94b92db12210 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.