Triple

T20806744
Position Surface form Disambiguated ID Type / Status
Subject Take All My Loves: 9 Shakespeare Sonnets E512180 entity
Predicate hasPart P35 FINISHED
Object Sonnet 10 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 10 | Statement: [Take All My Loves: 9 Shakespeare Sonnets, hasPart, Sonnet 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonnet 10
Context triple: [Take All My Loves: 9 Shakespeare Sonnets, hasPart, Sonnet 10]
  • A. Sonnet 10 chosen
    Sonnet 10 is one of William Shakespeare’s 154 sonnets, notable for its exploration of love, self-love, and the poet’s plea for emotional openness.
  • B. Sonnet 1
    Sonnet 1 is the opening poem of Edmund Spenser’s Amoretti sequence, introducing its central themes of love, devotion, and poetic praise of the beloved.
  • C. Sonnet 20
    Sonnet 20 is one of William Shakespeare’s most discussed sonnets, notable for its exploration of gender, beauty, and desire in the context of the Fair Youth sequence.
  • D. Sonnet 34
    Sonnet 34 is one of Edmund Spenser’s Amoretti sonnets, reflecting his characteristic blend of intricate poetic form and Renaissance love themes.
  • E. Sonnet 54
    Sonnet 54 is one of Edmund Spenser’s Amoretti sonnets, notable for its exploration of unrequited love through the metaphor of theatrical performance.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cfdee481908e42a1a8940ea40c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.