Triple

T19980953
Position Surface form Disambiguated ID Type / Status
Subject Dark Lady E493813 entity
Predicate hasNotableWork P4 FINISHED
Object Sonnet 138 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 138 | Statement: [Dark Lady, hasNotableWork, Sonnet 138]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonnet 138
Context triple: [Dark Lady, hasNotableWork, Sonnet 138]
  • A. Sonnet 138 chosen
    Sonnet 138 is one of William Shakespeare’s best-known sonnets, notable for its ironic exploration of love, deception, and self-delusion in a mature romantic relationship.
  • B. Sonnet 136
    Sonnet 136 is one of William Shakespeare’s later sonnets, notable for its intricate wordplay on the poet’s name “Will” and its exploration of desire and identity within the Dark Lady sequence.
  • C. Sonnet 132
    Sonnet 132 is one of William Shakespeare’s Dark Lady sonnets, notable for its exploration of unrequited love and the speaker’s conflicted admiration for the beloved’s dark features.
  • D. Sonnet 134
    Sonnet 134 is one of William Shakespeare’s Dark Lady sonnets, exploring themes of unrequited love, emotional bondage, and betrayal.
  • E. Sonnet 137
    Sonnet 137 is one of William Shakespeare’s “Dark Lady” sonnets, exploring themes of deceptive love, moral blindness, and the conflict between reason and desire.
  • 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.