Triple

T9238331
Position Surface form Disambiguated ID Type / Status
Subject Adonais E221992 entity
Predicate meter P1997 FINISHED
Object Spenserian stanza E98668 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: Spenserian stanza | Statement: [Adonais, meter, Spenserian stanza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spenserian stanza
Context triple: [Adonais, meter, Spenserian stanza]
  • A. Spenserian stanza chosen
    A Spenserian stanza is a nine-line poetic form with a specific rhyme scheme and meter, famously used by Edmund Spenser in "The Faerie Queene" and later adopted by Romantic poets.
  • B. Alcaic stanza
    The Alcaic stanza is an ancient Greek lyrical verse form, later adopted by Latin poets like Horace, characterized by a specific quantitative metrical pattern traditionally used for serious or reflective themes.
  • C. Alexandrine
    Alexandrine is a feminine given name of Greek origin, historically borne by various European noblewomen and literary figures.
  • D. Sonnet
    Sonnet is a given name that can be used for people, such as Sonnet Noel Whitaker.
  • E. terza rima
    Terza rima is an Italian verse form composed of interlocking three-line stanzas with a characteristic chain rhyme scheme, famously used by Dante in the Divine Comedy.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09f9e908190801fe114c5e63984 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:30 p.m.