Triple

T18283593
Position Surface form Disambiguated ID Type / Status
Subject Di Consentes E437923 entity
Predicate hasMember P10 FINISHED
Object Minerva 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: Minerva | Statement: [Di Consentes, hasMember, Minerva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minerva
Context triple: [Di Consentes, hasMember, Minerva]
  • A. Minerva
    Minerva is a supporting character in the 1997 Rodgers & Hammerstein television adaptation of Cinderella, appearing as one of the comedic stepsisters.
  • B. Minerva chosen
    Minerva is the Roman goddess of wisdom, strategic warfare, and the arts, often identified with the Greek goddess Athena.
  • C. Sulis Minerva
    Sulis Minerva is a syncretic Romano-British goddess combining the local Celtic deity Sulis with the Roman goddess Minerva, especially venerated at the sacred hot springs in Bath (Aquae Sulis), England.
  • D. MINERVA
    MINERVA is a small hopping rover deployed by Japan’s Hayabusa spacecraft to explore the surface of asteroid Itokawa.
  • E. Clio
    Clio is the Muse of history in Greek mythology, traditionally associated with the celebration and recording of heroic deeds.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500f7ff088190933bb8f403ce7f9c completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.