Triple

T13675868
Position Surface form Disambiguated ID Type / Status
Subject Lady Capulet E327874 entity
Predicate supportsMarriageWith P110081 FINISHED
Object Count Paris E960994 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: Count Paris | Statement: [Lady Capulet, supportsMarriageWith, Count Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count Paris
Context triple: [Lady Capulet, supportsMarriageWith, Count Paris]
  • A. Count Paris chosen
    Count Paris is a nobleman in Shakespeare's "Romeo and Juliet" who seeks to marry Juliet and represents the socially approved alternative to Romeo.
  • B. Count of Paris
    Count of Paris was a powerful medieval noble title associated with the rulers of the Paris region, notably held by Hugh Capet before he became king of France and founded the Capetian dynasty.
  • C. Paris Bound
    Paris Bound is a 1927 stage comedy by American playwright Philip Barry that explores modern marriage and sexual freedom among sophisticated New Yorkers.
  • D. 42 Paris
    42 Paris is a pioneering tuition-free, peer-to-peer coding school in Paris known for its project-based curriculum and lack of traditional teachers or classes.
  • E. Paris 2
    Paris 2 is the commonly used short name for Université Paris 2 Panthéon-Assas, a prestigious French university renowned for its programs in law and social sciences.
  • 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: supportsMarriageWith
Context triple: [Lady Capulet, supportsMarriageWith, Count Paris]
  • A. supportsMarriageBetween chosen
    Indicates that one entity endorses or is in favor of a marital union between the specified parties.
  • B. acceptsMarriageTo
    Indicates that one entity formally agrees to enter into a marriage with another entity.
  • C. hasAttitudeTowardMarriage
    Indicates that an entity holds a particular opinion, feeling, or stance regarding the institution or concept of marriage.
  • D. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • E. hasMarriage
    Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65c04988190b675e6fb7241e53c completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943dbf748190b41abfe9d81d1427 completed May 3, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69dbbe8d8d0881908d6e89954f44eed4 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:53 p.m.