Triple

T6222156
Position Surface form Disambiguated ID Type / Status
Subject Ms. Fat Booty E139140 entity
Predicate hasVerseStructure P59491 FINISHED
Object multiple narrative verses 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: multiple narrative verses | Statement: [Ms. Fat Booty, hasVerseStructure, multiple narrative verses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVerseStructure
Context triple: [Ms. Fat Booty, hasVerseStructure, multiple narrative verses]
  • A. hasVerseChorusStructure
    Indicates that something, typically a musical composition, is organized using a recurring pattern of verses and choruses.
  • B. poeticStructure
    Indicates a relationship where one entity defines, embodies, or specifies the formal poetic organization (such as meter, rhyme scheme, or stanza pattern) used by another entity.
  • C. hasVerseCount
    Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
  • D. hasSyllableStructure
    Indicates that an entity (typically a word or morpheme) possesses a particular arrangement or pattern of syllables.
  • E. hasLyricalForm chosen
    Indicates that one entity (typically a musical or poetic work) possesses or is characterized by a particular lyrical structure or form.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bddb688190add53172a7445d01 completed March 22, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69c055ffdf54819086d987d646e44ff5 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:22 p.m.