Triple

T38108370
Position Surface form Disambiguated ID Type / Status
Subject Aurelius E951583 entity
Predicate maritalStatusOfLoveInterest P20884 FINISHED
Object Dorigen is married to Arveragus 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: Dorigen is married to Arveragus | Statement: [Aurelius, maritalStatusOfLoveInterest, Dorigen is married to Arveragus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritalStatusOfLoveInterest
Context triple: [Aurelius, maritalStatusOfLoveInterest, Dorigen is married to Arveragus]
  • A. marital status chosen
    Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
  • B. maritalStatusInDisguise
    Indicates that an entity’s true marital status is being concealed or misrepresented, typically appearing different from what it actually is.
  • C. spouseOrLover
    Indicates a romantic partnership between two entities, whether formalized as a spouse or existing as a lover.
  • D. spouseStatus
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • E. spouseStatusAtMarriage
    Indicates the marital status each partner held at the time their marriage to one another was formed.
  • 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_69f76f065ed08190bdfb1b6d817f5b39 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcc42cbac48190b8d3e4c9ce140838 completed May 7, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69fcb0fc69c88190800453eb57a7e62c completed May 7, 2026, 3:34 p.m.
Created at: May 3, 2026, 4:21 p.m.