Triple

T12030751
Position Surface form Disambiguated ID Type / Status
Subject Juliet Capulet E286397 entity
Predicate marriesWithHelpOf P53943 FINISHED
Object Friar Laurence E285563 NE FINISHED

How this triple was built (3 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: Friar Laurence | Statement: [Juliet Capulet, marriesWithHelpOf, Friar Laurence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friar Laurence
Context triple: [Juliet Capulet, marriesWithHelpOf, Friar Laurence]
  • A. Friar Laurence chosen
    Friar Laurence is the well-intentioned Franciscan priest in Shakespeare’s "Romeo and Juliet" who secretly marries the young lovers and devises the ill-fated plan that leads to their tragic end.
  • B. Lord Capulet
    Lord Capulet is Juliet’s authoritative and temperamental father in Shakespeare’s tragedy, whose decisions and conflicts help drive the lovers toward their fatal end.
  • C. Romeo Montague
    Romeo Montague is the passionate young lover and tragic protagonist of William Shakespeare’s play "Romeo and Juliet," whose forbidden romance ends in mutual death.
  • D. Juliet Capulet
    Juliet Capulet is the young heroine of William Shakespeare’s tragedy "Romeo and Juliet," renowned as one half of literature’s most famous star-crossed lovers.
  • E. Romeo
    Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriesWithHelpOf
Context triple: [Juliet Capulet, marriesWithHelpOf, Friar Laurence]
  • A. marries
    Indicates that one entity enters into a legally or socially recognized marital union with another entity.
  • B. marriageResolvedBy
    Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
  • C. marriedBy
    Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
  • D. arrangedMarriageFor chosen
    Indicates that one entity has organized or set up a marriage for another entity.
  • E. marriageFormedBy
    Indicates that a marriage relationship was created or brought into existence by a specific event, action, or process.
  • F. None of above.

Provenance (4 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d5fd0708190860201a4a8c6fe7c completed May 1, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.