Triple

T20588009
Position Surface form Disambiguated ID Type / Status
Subject Sonnet 154 E505836 entity
Predicate hasCompanionPoem P22238 FINISHED
Object Sonnet 153 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 153 | Statement: [Sonnet 154, hasCompanionPoem, Sonnet 153]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonnet 153
Context triple: [Sonnet 154, hasCompanionPoem, Sonnet 153]
  • A. Sonnet 153 chosen
    Sonnet 153 is one of William Shakespeare’s later sonnets, notable for its mythological imagery and its exploration of unrequited love and desire associated with the Dark Lady sequence.
  • B. Sonnet 152
    Sonnet 152 is one of William Shakespeare’s later Dark Lady sonnets, notable for its intense tone of betrayal, self-reproach, and moral conflict in love.
  • C. Sonnet 154
    Sonnet 154 is the final poem in William Shakespeare’s sonnet sequence, notable for its mythological imagery and meditation on unrequited love and desire.
  • 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 151
    Sonnet 151 is one of William Shakespeare’s later sonnets, notable for its frank and earthy exploration of physical desire in the so‑called Dark Lady sequence.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a9790cc08190b48949834cd421d2 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.