Triple

T21855447
Position Surface form Disambiguated ID Type / Status
Subject Anglican Communion liturgical calendars E539612 entity
Predicate includesFeast P9516 FINISHED
Object Epiphany NE NERFINISHED

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: Epiphany | Statement: [Anglican Communion liturgical calendars, includesFeast, Epiphany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epiphany
Context triple: [Anglican Communion liturgical calendars, includesFeast, Epiphany]
  • A. Epiphany
    Epiphany is the second studio album by American singer and rapper T-Pain, known for its heavy use of Auto-Tune and hit singles that helped solidify his mainstream success.
  • B. Epiphany
    Epiphany is a lightweight, GNOME-integrated web browser focused on simplicity and standards compliance.
  • C. Epiphany
    Epiphany is an R&B album by American singer Chrisette Michele that showcases her soulful vocals and contemporary production.
  • D. Epiphany chosen
    Epiphany is a major Christian feast day commemorating the revelation of Jesus Christ to the world, particularly through the visit of the Magi.
  • E. Epiphany
    "Epiphany" is a pivotal, emotionally explosive solo from the musical *Sweeney Todd* in which the title character fully embraces his vengeful madness.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d635b59c81908810480f3802b847 completed April 28, 2026, 3:45 p.m.
Created at: April 16, 2026, 6:56 p.m.