Triple

T9669868
Position Surface form Disambiguated ID Type / Status
Subject Andrew of Crete E233997 entity
Predicate wrote P2831 FINISHED
Object Great Canon E813243 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: Great Canon | Statement: [Andrew of Crete, wrote, Great Canon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Canon
Context triple: [Andrew of Crete, wrote, Great Canon]
  • A. Great Canon chosen
    The Great Canon is a lengthy penitential hymn of the Eastern Orthodox Church, composed by Andrew of Crete and traditionally chanted during Great Lent.
  • B. Great Sept
    The Great Sept is the principal temple of the Faith of the Seven in King’s Landing in the world of "A Song of Ice and Fire" and its TV adaptation "Game of Thrones."
  • C. The Grand
    The Grand is a historic performing arts theater and cultural landmark located in Macon, Georgia.
  • D. The Grand
    The Grand is a 2007 improvised comedy film that satirizes high-stakes poker tournaments, featuring an ensemble cast including Cheryl Hines, Woody Harrelson, and David Cross.
  • E. La Grande
    La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3ec17081908c2da74a1d1f49da completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190f691c8819093fe133bdbe1c9d1 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:15 p.m.