Triple

T19980732
Position Surface form Disambiguated ID Type / Status
Subject Sonnet 73 E493808 entity
Predicate collectionPosition P82023 FINISHED
Object Sonnet 73 in the 1609 sequence 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 73 in the 1609 sequence | Statement: [Sonnet 73, collectionPosition, Sonnet 73 in the 1609 sequence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonnet 73 in the 1609 sequence
Context triple: [Sonnet 73, collectionPosition, Sonnet 73 in the 1609 sequence]
  • A. Sonnet 73 chosen
    Sonnet 73 is one of William Shakespeare’s most famous sonnets, reflecting on aging, mortality, and the deepening of love in the face of time’s decay.
  • B. 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.
  • C. Sonnet 67
    Sonnet 67 is one of Edmund Spenser’s Amoretti sonnets, notable for its allegorical depiction of love through the extended metaphor of a hunter and a deer.
  • D. Sonnet 30
    Sonnet 30 is one of William Shakespeare’s most famous sonnets, reflecting on themes of memory, loss, and the consoling power of friendship.
  • E. Sonnet 55
    Sonnet 55 is one of William Shakespeare’s most famous sonnets, notable for its meditation on the power of poetry to immortalize the beloved beyond the ravages of time and decay.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d12d968819081e315ec4585cd9f completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.