Triple

T2101839
Position Surface form Disambiguated ID Type / Status
Subject Histories E37107 entity
Predicate book1Title P33185 FINISHED
Object Clio E103079 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: Clio | Statement: [Histories, book1Title, Clio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clio
Context triple: [Histories, book1Title, Clio]
  • A. Clio chosen
    Clio is the Muse of history in Greek mythology, traditionally associated with the celebration and recording of heroic deeds.
  • B. Minerva
    Minerva is a supporting character in the 1997 Rodgers & Hammerstein television adaptation of Cinderella, appearing as one of the comedic stepsisters.
  • C. Siris
    Siris is a philosophical work by George Berkeley that explores metaphysics, theology, and the medicinal virtues of tar-water through a chain of reflective questions and arguments.
  • D. CASSIOPE
    CASSIOPE is a Canadian multi-purpose satellite that combines scientific research of Earth’s upper atmosphere with a commercial communications payload.
  • E. Pythia
    Pythia was the high priestess and oracle of Apollo at the ancient Greek sanctuary of Delphi, famed for delivering prophetic pronouncements to individuals and city-states.
  • 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: book1Title
Context triple: [Histories, book1Title, Clio]
  • A. titleInEnglish
    Indicates that an entity’s title or name is given in the English language.
  • B. book
    Indicates that an agent reserves or schedules a service, event, or resource for future use.
  • C. fictionalWorkTitle
    Indicates the title assigned to a fictional work, such as a novel, film, or game.
  • D. title
    Indicates that one entity serves as the formal name or designation of another entity.
  • E. publicationTitle chosen
    Indicates the name or title under which a work (such as an article, book, or paper) is formally published.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabc83a8819091f786f21d33b5a6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3065f3588190bc483e07dda8cf71 completed March 9, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69abb7b7b6288190afa11b4d93bd5666 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:43 p.m.