Triple

T20223419
Position Surface form Disambiguated ID Type / Status
Subject Rosalind and Orlando E495315 entity
Predicate malePartner P32629 FINISHED
Object Orlando NE NERFINISHED

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: Orlando | Statement: [Rosalind and Orlando, malePartner, Orlando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando
Context triple: [Rosalind and Orlando, malePartner, Orlando]
  • A. Orlando
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • B. Orlando
    Orlando is a common Italian surname borne by numerous individuals, including notable political and cultural figures.
  • C. Orlando chosen
    Orlando is the Italian literary counterpart of the medieval knight Roland, best known as the chivalric hero of epic poems such as "Orlando Furioso."
  • D. Orlando
    Orlando is a 1992 British period fantasy film, based on Virginia Woolf’s novel, in which Tilda Swinton plays an androgynous noble who lives for centuries while changing gender.
  • E. Orlando
    Orlando is the middle name of William O. Butler, a 19th-century American military officer and politician.
  • 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: malePartner
Context triple: [Rosalind and Orlando, malePartner, Orlando]
  • A. maleEquivalent
    Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
  • B. maleFeature
    Indicates that the subject possesses a characteristic or attribute typically associated with males.
  • C. spouseGender chosen
    Indicates the gender of a person’s spouse in a marital relationship.
  • D. symbolicPartnerOf
    Indicates a relationship in which two entities are formally or representationally associated as partners in a symbolic, rather than practical or operational, sense.
  • E. maleCalled
    Indicates that a male individual is referred to or named by a particular name or label.
  • F. None of above.

Provenance (3 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd827708190b798a30f4e7d533f completed April 20, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69e55b18609481909ab28bc8750a642f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:39 p.m.