Triple

T4647357
Position Surface form Disambiguated ID Type / Status
Subject Mnemosyne E102204 entity
Predicate motherOf P120 FINISHED
Object Clio E103079 NE FINISHED

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: Clio | Statement: [Mnemosyne, motherOf, Clio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clio
Context triple: [Mnemosyne, motherOf, 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. Hemera
    Hemera is the ancient Greek primordial goddess and personification of daylight, often contrasted with her mother Nyx, the goddess of night.
  • E. CASSIOPE
    CASSIOPE is a Canadian multi-purpose satellite that combines scientific research of Earth’s upper atmosphere with a commercial communications payload.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd62fcb8508190a17c4437b3d226b2 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadfe8b4819088a5fb1565bbe94a completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.