Triple

T3098697
Position Surface form Disambiguated ID Type / Status
Subject Good News Bible E64662 entity
Predicate alsoKnownAs P39 FINISHED
Object GNT E64660 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: GNT | Statement: [Good News Bible, alsoKnownAs, GNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNT
Context triple: [Good News Bible, alsoKnownAs, GNT]
  • A. GNT chosen
    GNT is an abbreviation for the Good News Translation, a modern English Bible version known for its clear, easy-to-understand language.
  • B. WGN America
    WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
  • C. UNTV
    UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
  • D. Grundy Television
    Grundy Television is a television production company known for creating and producing various scripted series and entertainment programs.
  • E. 19 Entertainment
    19 Entertainment is a British-based entertainment company best known for creating and producing global television franchises such as "American Idol" and managing associated music and talent ventures.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada269a9188190aada5b3799d4dfd7 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f563524819084ae75c024b8291d completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:03 p.m.