Triple

T13982735
Position Surface form Disambiguated ID Type / Status
Subject Grace E336354 entity
Predicate hasTrack P3284 FINISHED
Object For Your Glory E329660 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: For Your Glory | Statement: [Grace, hasTrack, For Your Glory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: For Your Glory
Context triple: [Grace, hasTrack, For Your Glory]
  • A. For Your Glory chosen
    "For Your Glory" is a popular contemporary gospel worship song by Tasha Cobbs known for its heartfelt lyrics of surrender and devotion to God.
  • B. Pride and Glory
    Pride and Glory is a 2008 American crime drama film centered on a New York City police family torn apart by corruption and moral conflict.
  • C. Glory Road
    Glory Road is a 1963 science fantasy novel by Robert A. Heinlein that blends adventure, satire, and speculative fiction in a quest across multiple dimensions.
  • D. Glory Road
    Glory Road is a 2006 sports drama film based on the true story of the Texas Western College basketball team that broke racial barriers by winning the 1966 NCAA championship with an all-Black starting lineup.
  • E. “For the Glory”
    “For the Glory” is a competitive, high-energy theme song associated with the Kinetic Grand Championship, capturing its spirit of ambition and triumph.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea2e8808190a1203a6386224bd8 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.