Triple

T19981329
Position Surface form Disambiguated ID Type / Status
Subject Thomas Lodge E493820 entity
Predicate wrote P2831 FINISHED
Object Rosalynde 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: Rosalynde | Statement: [Thomas Lodge, wrote, Rosalynde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosalynde
Context triple: [Thomas Lodge, wrote, Rosalynde]
  • A. Rosalynde chosen
    Rosalynde is a 1590 prose pastoral romance by Thomas Lodge that served as the primary source for William Shakespeare’s play "As You Like It."
  • B. Rosalind and Orlando
    Rosalind and Orlando are the central lovers in Shakespeare’s comedy *As You Like It*, whose witty courtship and mistaken identities drive much of the play’s romantic and comedic action.
  • C. Rosalind
    Rosalind is a feminine given name of Latin origin, commonly associated with the pioneering scientist Rosalind Franklin.
  • D. Rosalind
    Rosalind is the witty, resourceful heroine of Shakespeare's comedy "As You Like It," known for her cross-dressing disguise and insightful explorations of love and identity.
  • E. Rosalind
    Rosalind is a small inner moon of Uranus that helps gravitationally shape and maintain the planet’s ring system.
  • 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_69e65d13a8a88190bf5f4f697793f4c9 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.