Triple

T19727613
Position Surface form Disambiguated ID Type / Status
Subject Old Fortunatus E473766 entity
Predicate hasCharacter P2308 FINISHED
Object Fortunatus 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: Fortunatus | Statement: [Old Fortunatus, hasCharacter, Fortunatus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortunatus
Context triple: [Old Fortunatus, hasCharacter, Fortunatus]
  • A. Fortunatus chosen
    Fortunatus is an early Christian mentioned by the Apostle Paul in the New Testament as one of the believers associated with the Corinthian church.
  • B. Midas
    Midas is a powerful and aggressive robot boxer from the science-fiction film "Real Steel."
  • C. Christopher the Spendthrift
    Christopher the Spendthrift was a 14th-century Danish prince and ecclesiastical ruler known for his extravagant lifestyle and financial mismanagement.
  • D. Fortunio
    Fortunio is a French comic opera by André Messager, first performed in the early 20th century and known for its light, lyrical style and romantic intrigue.
  • E. Fortunearia
    Fortunearia is a small genus of flowering plants in the witch-hazel family, known for its ornamental shrubs native to East Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649fa1bc481908a9e7cf4fc52f75c completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:47 p.m.