Triple

T454008
Position Surface form Disambiguated ID Type / Status
Subject Synoptic Gospels E7191 entity
Predicate usesGenre P14 FINISHED
Object ancient biography LITERAL 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: ancient biography | Statement: [Synoptic Gospels, usesGenre, ancient biography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesGenre
Context triple: [Synoptic Gospels, usesGenre, ancient biography]
  • A. genre chosen
    Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
  • B. genreFeatures
    Indicates that a particular genre is characterized or defined by certain features or attributes.
  • C. genreDiversity
    Indicates the extent to which an entity involves, includes, or spans multiple distinct genres rather than being confined to a single genre.
  • D. musicBy
    Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
  • E. hasGenreStrength
    Indicates that something possesses a particular intensity or degree of emphasis associated with a specific genre.
  • F. None of above.

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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef866e848190a5b700250ec56256 completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a2ede4de008190b5a6c159e741522e completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.