Triple

T13726113
Position Surface form Disambiguated ID Type / Status
Subject Break Every Chain E329657 entity
Predicate partOfAlbum P35 FINISHED
Object Grace E336354 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: Grace | Statement: [Break Every Chain, partOfAlbum, Grace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace
Context triple: [Break Every Chain, partOfAlbum, Grace]
  • A. Grace
    "Grace" is a British crime drama television series starring John Simm as Detective Superintendent Roy Grace, adapted from Peter James's bestselling novels.
  • B. Grace chosen
    "Grace" is a popular contemporary gospel album by Tasha Cobbs known for its powerful worship songs and breakout hit "Break Every Chain."
  • C. Grace
    Grace is Jeff Buckley’s acclaimed 1994 debut studio album, celebrated for its emotive vocals, eclectic songwriting, and enduring influence on alternative rock.
  • D. Grace
    Grace is a cybernetically enhanced human soldier from the future who serves as one of the main protagonists in the film "Terminator: Dark Fate."
  • E. Grace
    Grace is a central character in the 1969 film "The Slave," notable for her role within the movie’s historical adventure narrative.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f63c1c8190a7d0b84f319aa99b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d60cd048190b20c4e6f49f816a6 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.