Triple

T4193142
Position Surface form Disambiguated ID Type / Status
Subject Juno E89080 entity
Predicate associatedWith P37 FINISHED
Object Minerva E194859 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: Minerva | Statement: [Juno, associatedWith, Minerva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minerva
Context triple: [Juno, associatedWith, 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. Sulis Minerva chosen
    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.
  • C. Clio
    Clio is the Muse of history in Greek mythology, traditionally associated with the celebration and recording of heroic deeds.
  • D. Herma
    Herma is a groundbreaking solo piano composition by Iannis Xenakis that applies mathematical and set-theoretical principles to create highly complex, avant-garde sound structures.
  • E. Athena
    Athena is the enigmatic, spiritually gifted protagonist of Paulo Coelho’s novel "The Witch of Portobello," whose search for identity and the divine challenges social and religious conventions.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0b02208190af3a55d38a7a2459 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.