Triple

T20778334
Position Surface form Disambiguated ID Type / Status
Subject Argiope E511411 entity
Predicate spouseFatherOf P30347 FINISHED
Object Europa 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: Europa | Statement: [Argiope, spouseFatherOf, Europa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europa
Context triple: [Argiope, spouseFatherOf, Europa]
  • A. Europa
    Europa is a 1991 surreal, noir-style drama film by Danish director Lars von Trier, known for its striking visual style and hypnotic narrative set in post-World War II Germany.
  • B. Europa chosen
    Europa is a figure in Greek mythology, a Phoenician princess famously abducted by Zeus and later the eponymous queen of Crete.
  • C. Europa
    Europa is one of Jupiter’s large icy moons, notable for its smooth frozen surface and the subsurface ocean that makes it a prime candidate in the search for extraterrestrial life.
  • D. Europa
    Europa is a European-themed section of the Worlds of Fun amusement park in Kansas City, Missouri, featuring attractions, architecture, and cuisine inspired by various European countries.
  • E. Europa
    Europa is the primary continent-spanning, pseudo-European steampunk world in the Girl Genius webcomic, filled with mad science, clanking constructs, and warring powers.
  • 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: spouseFatherOf
Context triple: [Argiope, spouseFatherOf, Europa]
  • A. spouseFather chosen
    Indicates that one entity is the father of another entity’s spouse.
  • B. spouseOfType
    Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
  • C. spouseGrandfather
    Indicates that one person is the grandfather of another person’s spouse.
  • D. spouseMother
    Indicates that one person is the mother of another person’s spouse.
  • E. spouseOfChildren
    Indicates that one entity is the spouse (husband or wife) of the children of another entity.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26d34bc81908bb22087d434322d completed April 21, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69e5c0550ec481908a0877fb2409d983 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:37 p.m.