Triple

T20862843
Position Surface form Disambiguated ID Type / Status
Subject Sonnet 10 E513666 entity
Predicate inCollectionWith P1925 FINISHED
Object Sonnet 18 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: Sonnet 18 | Statement: [Sonnet 10, inCollectionWith, Sonnet 18]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonnet 18
Context triple: [Sonnet 10, inCollectionWith, Sonnet 18]
  • A. Sonnet 18 chosen
    Sonnet 18 is one of William Shakespeare’s most famous sonnets, renowned for its meditation on beauty, love, and the power of poetry to grant immortality.
  • B. Sonnet 75
    Sonnet 75 is one of Edmund Spenser’s most famous Amoretti sonnets, known for its meditation on love’s immortality through poetry.
  • C. Sonnet 116
    Sonnet 116 is one of William Shakespeare’s most famous sonnets, renowned for its meditation on the steadfast and unchanging nature of true love.
  • D. Sonnet 60
    Sonnet 60 is one of William Shakespeare’s most famous sonnets, meditating on the relentless passage of time and its effects on human life and beauty.
  • E. Sonnet 34
    Sonnet 34 is one of Edmund Spenser’s Amoretti sonnets, reflecting his characteristic blend of intricate poetic form and Renaissance love themes.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45d2ec4819098abbb901b9fcd87 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:44 p.m.