Triple

T20588029
Position Surface form Disambiguated ID Type / Status
Subject Orlando E505837 entity
Predicate fallsInLoveWith P7325 FINISHED
Object Rosalind 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: Rosalind | Statement: [Orlando, fallsInLoveWith, Rosalind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosalind
Context triple: [Orlando, fallsInLoveWith, Rosalind]
  • A. Rosalind chosen
    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.
  • B. Rosalind
    Rosalind is a small inner moon of Uranus that helps gravitationally shape and maintain the planet’s ring system.
  • C. Rosalind
    Rosalind is a feminine given name of Latin origin, commonly associated with the pioneering scientist Rosalind Franklin.
  • D. 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.
  • E. Rosalind Ivan
    Rosalind Ivan was a British character actress known for her intense, often stern roles in mid-20th-century films and stage productions.
  • 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.